Publications

2026

ACL

P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs

Shuai Zhao, Xinyi Wu, Shiqian Zhao, and 4 more authors

In Findings of the Association for Computational Linguistics: ACL 2026, 2026

@inproceedings{zhao2026p2papoisontopoisonremedyforreliable,
  title = {{{P}2{P}: A Poison-to-Poison Remedy for Reliable Backdoor Defense in {LLM}s}},
  author = {Zhao, Shuai and Wu, Xinyi and Zhao, Shiqian and Wu, Xiaobao and Guo, Zhongliang and Jia, Yanhao and Luu, Anh Tuan},
  booktitle = {Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026},
  year = {2026},
  pages = {12345--12360},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2026.findings-acl.600},
  url = {https://aclanthology.org/2026.findings-acl.600/},
}

ACL

MUR: Momentum Uncertainty guided Reasoning for Large Language Models

Hang Yan, Fangzhi Xu, Rongman Xu, and 8 more authors

In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

DOI Bib HTML PDF

@inproceedings{yan2026murmomentumuncertaintyguidedreasoni,
  title = {{{MUR}: Momentum Uncertainty guided Reasoning for Large Language Models}},
  author = {Yan, Hang and Xu, Fangzhi and Xu, Rongman and Li, Yifei and Zhang, Jian and Luo, Haoran and Wu, Xiaobao and Luu, Anh Tuan and Zhao, Haiteng and Lin, Qika and Liu, Jun},
  booktitle = {Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)},
  year = {2026},
  pages = {23078--23103},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2026.acl-long.1058},
  url = {https://aclanthology.org/2026.acl-long.1058/},
}

EMNLP

You Can’t Trust Your Agent: A Survey on Backdoor Threats and Defenses in Intelligent Agents

Long Tuan Ho, Yahui Ding, Huimin Xu, and 2 more authors

In EMNLP, 2026

Accepted at EMNLP 2026

Bib HTML

@inproceedings{luu2026youcanttrustyouragentasurveyonba,
  title = {{You Can’t Trust Your Agent: A Survey on Backdoor Threats and Defenses in Intelligent Agents}},
  author = {Ho, Long Tuan and Ding, Yahui and Xu, Huimin and Zhao, Shuai and Luu, Anh Tuan},
  booktitle = {EMNLP},
  year = {2026},
  url = {https://tuanluu.github.io/},
  note = {Accepted at EMNLP 2026},
}

Preprint

WINDQuant: Weight-Informed Neural Decision-Making for Global Mixed-Precision LLM Quantization

Phong Nam Huu Nguyen, Khoi M. Le, Cong-Duy T Nguyen, and 3 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{nguyen2026windquantweightinformedneuraldecisi,
  title = {{WINDQuant: Weight-Informed Neural Decision-Making for Global Mixed-Precision LLM Quantization}},
  author = {Nguyen, Phong Nam Huu and Le, Khoi M. and Nguyen, Cong-Duy T and Luu, Anh Tuan and Nguyen, Thong Thanh and Quan, Tho},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2605.26660},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

USENIX Sec

When Memory Becomes a Vulnerability: Towards Multi-turn Jailbreak Attacks against Text-to-Image Generation Systems

Shiqian Zhao, Jiayang Liu, Yiming Li, and 9 more authors

In 35th USENIX Security Symposium, 2026

arXiv Bib HTML PDF

@inproceedings{zhao2026whenmemorybecomesavulnerabilitytowa,
  title = {{When Memory Becomes a Vulnerability: Towards Multi-turn Jailbreak Attacks against Text-to-Image Generation Systems}},
  author = {Zhao, Shiqian and Liu, Jiayang and Li, Yiming and Hu, Runyi and Jia, Xiaojun and Fan, Wenshu and Wu, Xiaobao and Li, Xinfeng and Zhang, Jie and Dong, Wei and Zhang, Tianwei and Luu, Anh Tuan},
  booktitle = {35th USENIX Security Symposium},
  year = {2026},
  url = {https://www.usenix.org/system/files/conference/usenixsecurity26/sec26_prepub_zhao-shiqian.pdf},
}

EMNLP

When In-Distribution Gains Fail: Evaluating Weak-to-Strong Reward Models under Preference Shift

Khoi Le, Tri Cao, Phong Nguyen, and 5 more authors

In EMNLP, 2026

Accepted at EMNLP 2026

arXiv Bib HTML PDF

@inproceedings{le2026whenindistributiongainsfailevaluati,
  title = {{When In-Distribution Gains Fail: Evaluating Weak-to-Strong Reward Models under Preference Shift}},
  author = {Le, Khoi and Cao, Tri and Nguyen, Phong and Nguyen, Cong-Duy and Luu, Anh Tuan and Chunyan, Miao and Ng, See-Kiong and Nguyen, Thong},
  booktitle = {EMNLP},
  year = {2026},
  url = {https://arxiv.org/abs/2605.25629},
  note = {Accepted at EMNLP 2026},
}

TDSC

UniFLE: Uniform Fusion of Multiple LoRA Experts for Backdoor Defense in Large Language Models

Shuai Zhao, Qika Lin, Yanhao Jia, and 3 more authors

IEEE Transactions on Dependable and Secure Computing, 2026

Bib HTML

@article{zhao2026unifleuniformfusionofmultipleloraex,
  title = {{UniFLE: Uniform Fusion of Multiple LoRA Experts for Backdoor Defense in Large Language Models}},
  author = {Zhao, Shuai and Lin, Qika and Jia, Yanhao and Wu, Xinyi and Li, Yuwen and Luu, Anh Tuan},
  journal = {IEEE Transactions on Dependable and Secure Computing},
  year = {2026},
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/11407462/},
}

ACL

Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization

Huimin Xu, Shuai Zhao, Xiaobao Wu, and 1 more author

In Findings of the Association for Computational Linguistics: ACL 2026, 2026

DOI Bib HTML PDF

@inproceedings{xu2026understandingandpreventingentropyco,
  title = {{Understanding and Preventing Entropy Collapse in {RLVR} with On-Policy Entropy Flow Optimization}},
  author = {Xu, Huimin and Zhao, Shuai and Wu, Xiaobao and Luu, Anh Tuan},
  booktitle = {Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026},
  year = {2026},
  pages = {17759--17771},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2026.findings-acl.879},
  url = {https://aclanthology.org/2026.findings-acl.879/},
}

EMNLP

Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models

Ponhvoan Srey, Quang Minh Nguyen, Xiaobao Wu, and 1 more author

In EMNLP, 2026

Accepted at EMNLP 2026

arXiv Bib HTML PDF

@inproceedings{srey2026towardsreliabletruthaligneduncertai,
  title = {{Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models}},
  author = {Srey, Ponhvoan and Nguyen, Quang Minh and Wu, Xiaobao and Luu, Anh Tuan},
  booktitle = {EMNLP},
  year = {2026},
  url = {https://arxiv.org/abs/2604.00445},
  note = {Accepted at EMNLP 2026},
}

ACL

Towards Fast and Accurate Modeling for Cross-Lingual Label Projection

Thang Le, Huy Huu Nguyen, Anh Tuan Luu, and 2 more authors

In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

DOI Bib HTML PDF

@inproceedings{le2026towardsfastandaccuratemodelingforcr,
  title = {{Towards Fast and Accurate Modeling for Cross-Lingual Label Projection}},
  author = {Le, Thang and Nguyen, Huy Huu and Luu, Anh Tuan and Solorio, Thamar and Nguyen, Thien Huu},
  booktitle = {Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)},
  year = {2026},
  pages = {39175--39198},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2026.acl-long.1817},
  url = {https://aclanthology.org/2026.acl-long.1817/},
}

Preprint

TIGER: Text-Conditioned Visual Gated Routing with Acceptance Alignment for Multimodal Speculative Decoding

Quynh Vo, Cong-Duy Nguyen, Ponhvoan Srey, and 2 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{vo2026tigertextconditionedvisualgatedrout,
  title = {{TIGER: Text-Conditioned Visual Gated Routing with Acceptance Alignment for Multimodal Speculative Decoding}},
  author = {Vo, Quynh and Nguyen, Cong-Duy and Srey, Ponhvoan and Luu, Anh Tuan and Nguyen, Thong},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2607.11131},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

Preprint

TIEM: Temporal Integration of Hypergraph Evidence and Skill Memory for Event-Driven Financial Forecasting

Wenjin Liu, Shen Pang, Chenxi Wang, and 6 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{liu2026tiemtemporalintegrationofhypergraph,
  title = {{TIEM: Temporal Integration of Hypergraph Evidence and Skill Memory for Event-Driven Financial Forecasting}},
  author = {Liu, Wenjin and Pang, Shen and Wang, Chenxi and Shen, Tiesunlong and He, Jiajie and Cui, Zhe and Wu, Xiaobao and Luu, Anh Tuan and Luo, Haoran},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2608.13024},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

ACL

Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers

Nguyen Viet Anh, Shiqian Zhao, Gia Dao, and 4 more authors

In Findings of the Association for Computational Linguistics: ACL 2026, 2026

DOI Bib HTML PDF

@inproceedings{anh2026threemindsonelegendjailbreaklargere,
  title = {{Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers}},
  author = {Anh, Nguyen Viet and Zhao, Shiqian and Dao, Gia and Hu, Runyi and Xie, Yi and Wu, Xiaobao and Luu, Anh Tuan},
  booktitle = {Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026},
  year = {2026},
  pages = {7139--7159},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2026.findings-acl.355},
  url = {https://aclanthology.org/2026.findings-acl.355/},
}

NeurIPS

Social Interaction Breaks Replicate Independence in Controlled-Clone LLM Agents

Yandan Zheng, Haoran Luo, and Anh Tuan Luu

In NeurIPS, 2026

Accepted at NeurIPS 2026

Bib HTML

@inproceedings{luu2026socialinteractionbreaksreplicate,
  title = {{Social Interaction Breaks Replicate Independence in Controlled-Clone LLM Agents}},
  author = {Zheng, Yandan and Luo, Haoran and Luu, Anh Tuan},
  booktitle = {NeurIPS},
  year = {2026},
  url = {https://tuanluu.github.io/},
  note = {Accepted at NeurIPS 2026},
}

ACL

Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs

Zhiyuan Hu, Yucheng Wang, Yufei He, and 7 more authors

In Findings of the Association for Computational Linguistics: ACL 2026, 2026

DOI Bib HTML PDF

@inproceedings{hu2026rewardingtherareuniquenessawarerlfo,
  title = {{Rewarding the Rare: Uniqueness-Aware {RL} for Creative Problem Solving in {LLM}s}},
  author = {Hu, Zhiyuan and Wang, Yucheng and He, Yufei and Wu, Jiaying and Zhao, Yilun and Ng, See-Kiong and Breazeal, Cynthia and Luu, Anh Tuan and Park, Hae Won and Hooi, Bryan},
  booktitle = {Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026},
  year = {2026},
  pages = {39765--39790},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2026.findings-acl.1982},
  url = {https://aclanthology.org/2026.findings-acl.1982/},
}

ACL

Rethinking Reasoning: A Survey on Reasoning-based Backdoors in LLMs

Man Hu, Xinyi Wu, Zhufeng Suo, and 5 more authors

In Findings of the Association for Computational Linguistics: ACL 2026, 2026

DOI Bib HTML PDF

@inproceedings{hu2026rethinkingreasoningasurveyonreasoni,
  title = {{Rethinking Reasoning: A Survey on Reasoning-based Backdoors in {LLM}s}},
  author = {Hu, Man and Wu, Xinyi and Suo, Zhufeng and Feng, Jinbo and Meng, Linghui and Jia, Yanhao and Luu, Anh Tuan and Zhao, Shuai},
  booktitle = {Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026},
  year = {2026},
  pages = {17437--17456},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2026.findings-acl.863},
  url = {https://aclanthology.org/2026.findings-acl.863/},
}

EMNLP

Reinforcing Step-level Reasoning for Effective Self-Correction in LLMs

Vu Duc Anh, Nhat M. Hoang, Do Xuan Long, and 3 more authors

In EMNLP, 2026

Accepted at EMNLP 2026

arXiv Bib HTML PDF

@inproceedings{anh2026reinforcingsteplevelreasoningforeff,
  title = {{Reinforcing Step-level Reasoning for Effective Self-Correction in LLMs}},
  author = {Anh, Vu Duc and Hoang, Nhat M. and Long, Do Xuan and Nguyen, Cong-Duy and Srey, Ponhvoan and Luu, Anh Tuan},
  booktitle = {EMNLP},
  year = {2026},
  url = {https://arxiv.org/abs/2608.11573},
  note = {Accepted at EMNLP 2026},
}

WWW

Read as You See: Guiding Unimodal LLMs for Low-Resource Explainable Harmful Meme Detection

Fengjun Pan, Xiaobao Wu, Tho Quan, and 1 more author

In Proceedings of the ACM Web Conference 2026, 2026

DOI arXiv Bib HTML PDF

@inproceedings{pan2026readasyouseeguidingunimodalllmsforl,
  title = {{Read as You See: Guiding Unimodal LLMs for Low-Resource Explainable Harmful Meme Detection}},
  author = {Pan, Fengjun and Wu, Xiaobao and Quan, Tho and Luu, Anh Tuan},
  booktitle = {Proceedings of the ACM Web Conference 2026},
  year = {2026},
  pages = {1672--1683},
  doi = {10.1145/3774904.3792570},
  url = {https://doi.org/10.1145/3774904.3792570},
}

TIFS

Protecting Your Customized LLM Systems from Backdoored Instructions with Metacognitive Probing

Shuai Zhao, Zhongliang Guo, Xinyi Wu, and 4 more authors

IEEE Transactions on Information Forensics and Security, 2026

Bib HTML

@article{zhao2026protectingyourcustomizedllmsystemsf,
  title = {{Protecting Your Customized LLM Systems from Backdoored Instructions with Metacognitive Probing}},
  author = {Zhao, Shuai and Guo, Zhongliang and Wu, Xinyi and Wu, Xiaobao and Jia, Yanhao and Xiao, Luwei and Luu, Anh Tuan},
  journal = {IEEE Transactions on Information Forensics and Security},
  year = {2026},
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/11612933/},
}

Preprint

Predict, Then Retrieve: Cross-Instance Future-State Retrieval from Video Prefixes

Quynh Vo, Thong Nguyen, Vinh-Hien Do, and 2 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{vo2026predictthenretrievecrossinstancefut,
  title = {{Predict, Then Retrieve: Cross-Instance Future-State Retrieval from Video Prefixes}},
  author = {Vo, Quynh and Nguyen, Thong and Do, Vinh-Hien and Nguyen, Cong-Duy and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2608.04426},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

Preprint

PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems

Kaiwen Jiang, Siya Xu, Ziyue Zhu, and 3 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{jiang2026poweratlastowardselectricitycomputi,
  title = {{PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems}},
  author = {Jiang, Kaiwen and Xu, Siya and Zhu, Ziyue and Yang, Chao and Luu, Anh Tuan and Luo, Haoran},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2607.26710},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

CIKM

Paper Espresso: From Paper Overload to Research Insight

Mingzhe Du, Anh Tuan Luu, Dong Huang, and 1 more author

In CIKM, 2026

Accepted at CIKM 2026

arXiv Bib HTML PDF

@inproceedings{du2026paperespressofrompaperoverloadtores,
  title = {{Paper Espresso: From Paper Overload to Research Insight}},
  author = {Du, Mingzhe and Luu, Anh Tuan and Huang, Dong and Ng, See-kiong},
  booktitle = {CIKM},
  year = {2026},
  url = {https://arxiv.org/abs/2604.04562},
  note = {Accepted at CIKM 2026},
}

Preprint

OrchMAS: Orchestrated Reasoning with Multi Collaborative Heterogeneous Scientific Expert Structured Agents

Yichao Feng, Haoran Luo, Zhenghong Lin, and 4 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{feng2026orchmasorchestratedreasoningwithmul,
  title = {{OrchMAS: Orchestrated Reasoning with Multi Collaborative Heterogeneous Scientific Expert Structured Agents}},
  author = {Feng, Yichao and Luo, Haoran and Lin, Zhenghong and Sun, Yiqun and Wei, Pengfei and Hsieh, Lawrence B. and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2603.03005},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

COLM

OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis

Kanzhi Cheng, Zehao Li, Zheng Ma, and 11 more authors

In COLM, 2026

Accepted at COLM 2026

arXiv Bib HTML PDF

@inproceedings{cheng2026openmobilebuildingopenmobileagentsw,
  title = {{OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis}},
  author = {Cheng, Kanzhi and Li, Zehao and Ma, Zheng and Chen, Nuo and Cao, Jialin and Sun, Qiushi and Ding, Zichen and Xu, Fangzhi and Yan, Hang and Chen, Jiajun and Luu, Anh Tuan and Zhang, Jianbing and Lu, Lewei and Lin, Dahua},
  booktitle = {COLM},
  year = {2026},
  url = {https://arxiv.org/abs/2604.15093},
  note = {Accepted at COLM 2026},
}

Preprint

ONOTE: Hypergraph-Grounded Omnimodal Reasoning for Computational Music Science

Menghe Ma, Siqing Wei, Yuecheng Xing, and 7 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{ma2026onotehypergraphgroundedomnimodalrea,
  title = {{ONOTE: Hypergraph-Grounded Omnimodal Reasoning for Computational Music Science}},
  author = {Ma, Menghe and Wei, Siqing and Xing, Yuecheng and Zhu, Ziyue and Lin, Zhenghong and Wang, Yaheng and Meng, Fanhong and Han, Peijun and Luu, Anh Tuan and Luo, Haoran},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2604.20719},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

NeurIPS

NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models

Ziyue Zhu, Shangyang Wu, Shuai Zhao, and 8 more authors

In NeurIPS, 2026

Accepted at NeurIPS 2026

Bib HTML

@inproceedings{luu2026nsvlatowardsneurosymbolicvisionl,
  title = {{NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models}},
  author = {Zhu, Ziyue and Wu, Shangyang and Zhao, Shuai and ZhiQiu, Zhao and Zhang, Jian and Shengjie, Li and Wang, Yi and Luu, Anh Tuan and Zhou, Xinliang and Li, Fang and Luo, Haoran},
  booktitle = {NeurIPS},
  year = {2026},
  url = {https://tuanluu.github.io/},
  note = {Accepted at NeurIPS 2026},
}

ICLR

MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval

Siyue Zhang, Yuan Gao, Xiao Zhou, and 5 more authors

In ICLR, 2026

Bib HTML

@inproceedings{zhang2026mrmrarealisticandexpertlevelmultidi,
  title = {{MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval}},
  author = {Zhang, Siyue and Gao, Yuan and Zhou, Xiao and Zhao, Yilun and Song, Tingyu and Cohan, Arman and Luu, Anh Tuan and Zhao, Chen},
  booktitle = {ICLR},
  year = {2026},
  volume = {2026},
  pages = {100517-100555},
  url = {https://proceedings.iclr.cc/paper_files/paper/2026/hash/a3a7387e49f4de290c23beea2dfcdc75-Abstract-Conference.html},
}

SAC

More Bias, Less Bias: BiasPrompting for Enhanced Multiple-Choice Question Answering

Duc Anh Vu, Thong Nguyen, Cong-Duy Nguyen, and 2 more authors

In Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

DOI Bib HTML

@inproceedings{vu2026morebiaslessbiasbiaspromptingforenh,
  title = {{More Bias, Less Bias: BiasPrompting for Enhanced Multiple-Choice Question Answering}},
  author = {Vu, Duc Anh and Nguyen, Thong and Nguyen, Cong-Duy and Nguyen, Viet Anh and Luu, Anh Tuan},
  booktitle = {Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing},
  year = {2026},
  pages = {953-955},
  doi = {10.1145/3748522.3779721},
  url = {https://dl.acm.org/doi/abs/10.1145/3748522.3779721},
}

NeurIPS

MMGraph-Agent: Agentic Multimodal RAG via Cache-Inspired Multimodal Knowledge HyperGraphs

Haoran Luo, Ziyue Zhu, Shangyang Wu, and 8 more authors

In NeurIPS, 2026

Accepted at NeurIPS 2026

Bib HTML

@inproceedings{luu2026mmgraphagentagenticmultimodalrag,
  title = {{MMGraph-Agent: Agentic Multimodal RAG via Cache-Inspired Multimodal Knowledge HyperGraphs}},
  author = {Luo, Haoran and Zhu, Ziyue and Wu, Shangyang and Luo, Linhao and Guo, Yikai and Lin, Qika and Xu, Fangzhi and Wang, Jiapu and Wu, Xiaobao and Zhu, Yifan and Luu, Anh Tuan},
  booktitle = {NeurIPS},
  year = {2026},
  url = {https://tuanluu.github.io/},
  note = {Accepted at NeurIPS 2026},
}

Preprint

MMDynOpt-Agent: Dynamic Optimization for Multimodal Large Language Model Reasoning via Reinforcement Learning

Wenjin Liu, Haoran Luo, Fayuan Ke, and 5 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{liu2026mmdynoptagentdynamicoptimizationfor,
  title = {{MMDynOpt-Agent: Dynamic Optimization for Multimodal Large Language Model Reasoning via Reinforcement Learning}},
  author = {Liu, Wenjin and Luo, Haoran and Ke, Fayuan and Lin, Zhenghong and Lu, Yue and Cui, Zhe and Luu, Anh Tuan and Yang, Carl},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2608.14026},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

Preprint

Measuring the Checker: Mutation Analysis for GPU-Kernel Benchmark Oracles

Mingzhe Du, Anh Tuan Luu, Dong Huang, and 1 more author

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{du2026measuringthecheckermutationanalysis,
  title = {{Measuring the Checker: Mutation Analysis for GPU-Kernel Benchmark Oracles}},
  author = {Du, Mingzhe and Luu, Anh Tuan and Huang, Dong and Ng, See-Kiong},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2609.22220},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

Preprint

MatReplace: A Reference-Free, Conditioning-Aligned Benchmark for Material Replacement in Interior Scenes

Mingzhe Du, Thong Thanh Nguyen, Nguyen Tran Cong Duy, and 2 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{du2026matreplaceareferencefreeconditionin,
  title = {{MatReplace: A Reference-Free, Conditioning-Aligned Benchmark for Material Replacement in Interior Scenes}},
  author = {Du, Mingzhe and Nguyen, Thong Thanh and Duy, Nguyen Tran Cong and Ng, See-Kiong and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2608.24107},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

Preprint

Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction

Mingzhe Du, Anh Tuan Luu, Tianyi Wu, and 4 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{du2026mastermindstrategygroundedlearningf,
  title = {{Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction}},
  author = {Du, Mingzhe and Luu, Anh Tuan and Wu, Tianyi and Liu, Renyang and Guo, Zhijiang and Huang, Dong and Ng, See-Kiong},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2607.01764},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

ACL

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models

Ponhvoan Srey, Xiaobao Wu, Cong-Duy T Nguyen, and 1 more author

In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

DOI Bib HTML PDF

@inproceedings{srey2026learninguncertaintyfromsequentialin,
  title = {{Learning Uncertainty from Sequential Internal Dispersion in Large Language Models}},
  author = {Srey, Ponhvoan and Wu, Xiaobao and Nguyen, Cong-Duy T and Luu, Anh Tuan},
  booktitle = {Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)},
  year = {2026},
  pages = {40088--40106},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2026.acl-long.1862},
  url = {https://aclanthology.org/2026.acl-long.1862/},
}

TIST

Introduction to the Special Issue on Transformers

Feng Xia, Tyler Derr, Anh Tuan Luu, and 2 more authors

ACM Transactions on Intelligent Systems and Technology, 2026

Editorial

DOI Bib HTML

@article{xia2026introductiontothespecialissueontran,
  title = {{Introduction to the Special Issue on Transformers}},
  author = {Xia, Feng and Derr, Tyler and Luu, Anh Tuan and Singh, Richa and Villavicencio, Aline},
  journal = {ACM Transactions on Intelligent Systems and Technology},
  year = {2026},
  volume = {17},
  number = {3},
  pages = {1-3},
  publisher = {ACM},
  doi = {10.1145/3793865},
  url = {https://dl.acm.org/doi/full/10.1145/3793865},
  note = {Editorial},
  howpublished = {OpenReview manuscript}
}

NeurIPS

HyperSkill: Training-Free Omnimodal GRPO via Hypergraph-Indexed Skill-Library Evolution

Haoran Luo, Shangkai Lin, Jinyang Wu, and 2 more authors

In NeurIPS, 2026

Accepted at NeurIPS 2026

Bib HTML

@inproceedings{luu2026hyperskilltrainingfreeomnimodalg,
  title = {{HyperSkill: Training-Free Omnimodal GRPO via Hypergraph-Indexed Skill-Library Evolution}},
  author = {Luo, Haoran and Lin, Shangkai and Wu, Jinyang and Zhou, Xinliang and Luu, Anh Tuan},
  booktitle = {NeurIPS},
  year = {2026},
  url = {https://tuanluu.github.io/},
  note = {Accepted at NeurIPS 2026},
}

ICML

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning

Haoran Luo, Haihong E, Guanting Chen, and 8 more authors

In ICML, 2026

Accepted at ICML 2026

arXiv Bib HTML PDF

@inproceedings{luo2026graphr1towardsagenticgraphragframew,
  title = {{Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning}},
  author = {Luo, Haoran and E, Haihong and Chen, Guanting and Lin, Qika and Guo, Yikai and Xu, Fangzhi and Kuang, Zemin and Song, Meina and Wu, Xiaobao and Zhu, Yifan and Luu, Anh Tuan},
  booktitle = {ICML},
  year = {2026},
  url = {https://arxiv.org/abs/2507.21892},
  note = {Accepted at ICML 2026},
}

EMNLP

GRACE: Step-Level Benchmark for Faithful Reasoning over Context

Hoang Pham, Dong Le, and Anh Tuan Luu

In EMNLP, 2026

Accepted at EMNLP 2026

arXiv Bib HTML PDF

@inproceedings{pham2026gracesteplevelbenchmarkforfaithfulr,
  title = {{GRACE: Step-Level Benchmark for Faithful Reasoning over Context}},
  author = {Pham, Hoang and Le, Dong and Luu, Anh Tuan},
  booktitle = {EMNLP},
  year = {2026},
  url = {https://arxiv.org/abs/2606.16151},
  note = {Accepted at EMNLP 2026},
}

AAAI

From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning

Yichao Feng, Haoran Luo, Lang Feng, and 2 more authors

In AAAI, 2026

Bib HTML

@inproceedings{feng2026fromstimulitomindsenhancingpsycholo,
  title = {{From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning}},
  author = {Feng, Yichao and Luo, Haoran and Feng, Lang and Zhao, Shuai and Luu, Anh Tuan},
  booktitle = {AAAI},
  year = {2026},
  volume = {40},
  number = {1},
  pages = {274-282},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/36988},
}

Preprint

From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models

Ponhvoan Srey, Xiaobao Wu, Cong-Duy Nguyen, and 3 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{srey2026fromsignalstotransferafactorisedstu,
  title = {{From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models}},
  author = {Srey, Ponhvoan and Wu, Xiaobao and Nguyen, Cong-Duy and Nguyen, Quang Minh and Vu, Duc Anh and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2606.27679},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

EMNLP

Fast and Focused: Interactive Repository-Level Fill-in-the-Middle Code Completion with Hybrid Structural Retrieval

Long S. T. Nguyen, Dat Huynh, Quynh Vo, and 5 more authors

In EMNLP, 2026

Accepted at EMNLP 2026

Bib HTML

@inproceedings{luu2026fastandfocusedinteractivereposit,
  title = {{Fast and Focused: Interactive Repository-Level Fill-in-the-Middle Code Completion with Hybrid Structural Retrieval}},
  author = {Nguyen, Long S. T. and Huynh, Dat and Vo, Quynh and Hai, LE Dang Nguyen and Nguyen, Cong-Duy T and Luu, Anh Tuan and Nguyen-Duc, Anh and Quan, Tho},
  booktitle = {EMNLP},
  year = {2026},
  url = {https://tuanluu.github.io/},
  note = {Accepted at EMNLP 2026},
}

Exploring Backdoor Attack and Defense Algorithms in LLMs: Enhancing Incontext Learning Security

Shuai Zhao, Zhongliang Guo, Luwei Xiao, and 4 more authors

Pattern Recognition, 2026

Bib HTML

@article{luu2026exploringbackdoorattackanddefens,
  title = {{Exploring Backdoor Attack and Defense Algorithms in LLMs: Enhancing Incontext Learning Security}},
  author = {Zhao, Shuai and Guo, Zhongliang and Xiao, Luwei and Nguyen, Cong-Duy and Jia, Yanhao and Wu, Xinyi and Luu, Anh Tuan},
  journal = {Pattern Recognition},
  year = {2026},
  url = {https://tuanluu.github.io/},
}

Preprint

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments

Jundong Xu, Qingchuan Li, Jiaying Wu, and 11 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{xu2026evoarenatrackingmemoryevolutionforr,
  title = {{EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments}},
  author = {Xu, Jundong and Li, Qingchuan and Wu, Jiaying and Lan, Yihuai and Li, Shuyue Stella and Zhou, Huichi and Jiang, Bowen and Wang, Lei and Wang, Jun and Luu, Anh Tuan and Xiong, Caiming and Park, Hae Won and Hooi, Bryan and Hu, Zhiyuan},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2606.13681},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

ACM MM

Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency

Thong Nguyen, Khoi M. Le, Cong-Duy Nguyen, and 3 more authors

In ACM MM, 2026

Accepted at ACM MM 2026

arXiv Bib HTML PDF

@inproceedings{nguyen2026eulerianmotionguidancerobustimagean,
  title = {{Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency}},
  author = {Nguyen, Thong and Le, Khoi M. and Nguyen, Cong-Duy and Luu, Anh Tuan and Ng, See-Kiong and Miao, Chunyan},
  booktitle = {ACM MM},
  year = {2026},
  url = {https://arxiv.org/abs/2605.06280},
  note = {Accepted at ACM MM 2026},
}

Preprint

ECLIPSE: Self-Evolving Stealthy Prompt Injection Attack against Long-Horizon Agentic Systems

Shiqian Zhao, Yangfan Zhou, Xinfeng Li, and 5 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{zhao2026eclipseselfevolvingstealthypromptin,
  title = {{ECLIPSE: Self-Evolving Stealthy Prompt Injection Attack against Long-Horizon Agentic Systems}},
  author = {Zhao, Shiqian and Zhou, Yangfan and Li, Xinfeng and Hu, Runyi and Zhang, Yechao and Xie, Yi and Zhang, Tianwei and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2608.30441},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

EMNLP

Don’t Read Everything: A Curvature-Conditioned Query for Linear Attention

Dong Le, Thong Nguyen, Cong-Duy Nguyen, and 1 more author

In EMNLP, 2026

Accepted at EMNLP 2026

arXiv Bib HTML PDF

@inproceedings{le2026dontreadeverythingacurvatureconditi,
  title = {{Don't Read Everything: A Curvature-Conditioned Query for Linear Attention}},
  author = {Le, Dong and Nguyen, Thong and Nguyen, Cong-Duy and Luu, Anh Tuan},
  booktitle = {EMNLP},
  year = {2026},
  url = {https://arxiv.org/abs/2606.01294},
  note = {Accepted at EMNLP 2026},
}

Preprint

Diachronic Hypergraphs for Orchestrated Multi-Agent Multimodal Memory Curation

Yichao Feng, Ran Zhang, Haoran Luo, and 3 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{feng2026diachronichypergraphsfororchestrate,
  title = {{Diachronic Hypergraphs for Orchestrated Multi-Agent Multimodal Memory Curation}},
  author = {Feng, Yichao and Zhang, Ran and Luo, Haoran and Lin, Zhenghong and Yang, Carl and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2608.29678},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

Preprint

Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning

Zhiyuan Hu, Yunhai Hu, Juncheng Liu, and 9 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{hu2026collaborativemultiagenttesttimerein,
  title = {{Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning}},
  author = {Hu, Zhiyuan and Hu, Yunhai and Liu, Juncheng and Li, Shuyue Stella and Wang, Yucheng and Xu, Zhen and Ng, See-Kiong and Luu, Anh Tuan and Xu, Xinxing and Hooi, Bryan and Breazeal, Cynthia and Park, Hae Won},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2601.09667},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

Preprint

CataOPD: Catalytic On-Policy Distillation for Large Language Model Reasoning

Wenjin Liu, Chenxi Wang, Jiapu Wang, and 3 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{liu2026cataopdcatalyticonpolicydistillatio,
  title = {{CataOPD: Catalytic On-Policy Distillation for Large Language Model Reasoning}},
  author = {Liu, Wenjin and Wang, Chenxi and Wang, Jiapu and Cui, Zhe and Luu, Anh Tuan and Luo, Haoran},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2609.29518},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

Preprint

BenchBench: Benchmarking Automated Benchmark Generation

Yandan Zheng, Haoran Luo, Zhenghong Lin, and 2 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{zheng2026benchbenchbenchmarkingautomatedbenc,
  title = {{BenchBench: Benchmarking Automated Benchmark Generation}},
  author = {Zheng, Yandan and Luo, Haoran and Lin, Zhenghong and Liu, Wenjin and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2603.20807},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

Preprint

Analyzing Diffusion and Autoregressive Vision Language Models in Multimodal Embedding Space

Zihang Wang, Siyue Zhang, Yilun Zhao, and 4 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{wang2026analyzingdiffusionandautoregressive,
  title = {{Analyzing Diffusion and Autoregressive Vision Language Models in Multimodal Embedding Space}},
  author = {Wang, Zihang and Zhang, Siyue and Zhao, Yilun and Yang, Jingyi and Song, Tingyu and Luu, Anh Tuan and Zhao, Chen},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2602.06056},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

JVCIR

ADGT: Enhancing 3D human pose estimation with attention-driven graph-transformers

Shuo Yang, Anh Tuan Luu, Xuan Son Nguyen, and 3 more authors

Journal of Visual Communication and Image Representation, 2026

Bib HTML

@article{yang2026adgtenhancing3dhumanposeestimationw,
  title = {{ADGT: Enhancing 3D human pose estimation with attention-driven graph-transformers}},
  author = {Yang, Shuo and Luu, Anh Tuan and Nguyen, Xuan Son and Histace, Aymeric and Jansen, Bart and Sahli, Hichem},
  journal = {Journal of Visual Communication and Image Representation},
  year = {2026},
  pages = {104829},
  publisher = {Academic Press},
  url = {https://www.sciencedirect.com/science/article/pii/S1047320326001240},
}

Preprint

Activation Steering Induces Emergent Misalignment: A More Comprehensive Evaluation

Qi Cao, Jian Lou, Meiting Liu, and 4 more authors

2026

arXiv preprint

arXiv Bib HTML PDF

@misc{cao2026activationsteeringinducesemergentmi,
  title = {{Activation Steering Induces Emergent Misalignment: A More Comprehensive Evaluation}},
  author = {Cao, Qi and Lou, Jian and Liu, Meiting and Feng, Wenjie and Li, Dan and Ng, See-Kiong and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2606.08682},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

TPAMI

A Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications

Wenyi Xiao, Zechuan Wang, Leilei Gan, and 9 more authors

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026

Accepted at IEEE Transactions on Pattern Analysis and Machine Intelligence 2026

Bib HTML

@article{xiao2026asurveyofdirectpreferenceoptimizati,
  title = {{A Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications}},
  author = {Xiao, Wenyi and Wang, Zechuan and Gan, Leilei and Zhao, Shuai and Li, Zongyue and Lei, Ruirui and He, Wanggui and Luu, Anh Tuan and Chan, Long and Jiang, Hao and Zhao, Zhou and Wu, Fei},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = {2026},
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/11568678/},
  note = {Accepted at IEEE Transactions on Pattern Analysis and Machine Intelligence 2026},
}

Preprint

A Decentralized Collaborative Framework for Inter-Airline Slot Swapping Considering Equity and Privacy

Hoang-Minh Le, Pham-Duc Thinh, Vu N Duong, and 2 more authors

2026

SSRN preprint

DOI Bib HTML

@misc{le2026adecentralizedcollaborativeframewor,
  title = {{A Decentralized Collaborative Framework for Inter-Airline Slot Swapping Considering Equity and Privacy}},
  author = {Le, Hoang-Minh and Thinh, Pham-Duc and Duong, Vu N and Luu, Anh Tuan and Alam, Sameer},
  journal = {SSRN preprint},
  year = {2026},
  doi = {10.2139/ssrn.6929734},
  url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6929734},
  note = {SSRN preprint},
  howpublished = {SSRN preprint}
}

2025

Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Yue Zhang, Yafu Li, Leyang Cui, and 12 more authors

Computational Linguistics, 2025

DOI Bib HTML PDF

@article{zhang2025sirenssongintheaioceanasurveyonhall,
  title = {{{S}iren{'}s Song in the {AI} Ocean: A Survey on Hallucination in Large Language Models}},
  author = {Zhang, Yue and Li, Yafu and Cui, Leyang and Cai, Deng and Liu, Lemao and Fu, Tingchen and Huang, Xinting and Zhao, Enbo and Zhang, Yu and Chen, Yulong and Wang, Longyue and Luu, Anh Tuan and Bi, Wei and Shi, Freda and Shi, Shuming},
  journal = {Computational Linguistics},
  year = {2025},
  volume = {51},
  number = {4},
  pages = {1373--1418},
  publisher = {MIT Press},
  doi = {10.1162/coli.a.16},
  url = {https://aclanthology.org/2025.cl-4.9/},
}

NAACL

SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia

Chaoqun Liu, Wenxuan Zhang, Jiahao Ying, and 3 more authors

In Findings of the Association for Computational Linguistics: NAACL 2025, 2025

DOI Bib HTML PDF

@inproceedings{liu2025seaexamandseabenchbenchmarkingllmsw,
  title = {{{S}ea{E}xam and {S}ea{B}ench: Benchmarking {LLM}s with Local Multilingual Questions in {S}outheast {A}sia}},
  author = {Liu, Chaoqun and Zhang, Wenxuan and Ying, Jiahao and Aljunied, Mahani and Luu, Anh Tuan and Bing, Lidong},
  booktitle = {Findings of the Association for Computational Linguistics: NAACL 2025},
  year = {2025},
  pages = {6134--6151},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.findings-naacl.341},
  url = {https://aclanthology.org/2025.findings-naacl.341/},
}

ACL

SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation

Huimin Xu, Xin Mao, Feng-Lin Li, and 4 more authors

In Findings of the Association for Computational Linguistics: ACL 2025, 2025

DOI Bib HTML PDF

@inproceedings{xu2025scopecompressmathematicalreasonings,
  title = {{{SCOPE}: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation}},
  author = {Xu, Huimin and Mao, Xin and Li, Feng-Lin and Wu, Xiaobao and Chen, Wang and Zhang, Wei and Luu, Anh Tuan},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2025},
  year = {2025},
  pages = {24382--24394},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.findings-acl.1251},
  url = {https://aclanthology.org/2025.findings-acl.1251/},
}

EMNLP

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering

Siyue Zhang, Yuxiang Xue, Yiming Zhang, and 3 more authors

In Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DOI Bib HTML PDF

@inproceedings{zhang2025mragamodularretrievalframeworkforti,
  title = {{{MRAG}: A Modular Retrieval Framework for Time-Sensitive Question Answering}},
  author = {Zhang, Siyue and Xue, Yuxiang and Zhang, Yiming and Wu, Xiaobao and Luu, Anh Tuan and Zhao, Chen},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2025},
  year = {2025},
  pages = {3080--3118},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.findings-emnlp.167},
  url = {https://aclanthology.org/2025.findings-emnlp.167/},
}

ACL

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models

Zhiyuan Hu, Yuliang Liu, Jinman Zhao, and 8 more authors

In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DOI Bib HTML PDF

@inproceedings{hu2025longreciperecipeforefficientlongcon,
  title = {{{L}ong{R}ecipe: Recipe for Efficient Long Context Generalization in Large Language Models}},
  author = {Hu, Zhiyuan and Liu, Yuliang and Zhao, Jinman and Wang, Suyuchen and Wang, Yan and Shen, Wei and Gu, Qing and Luu, Anh Tuan and Ng, See-Kiong and Jiang, Zhiwei and Hooi, Bryan},
  booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2025},
  pages = {11857--11870},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.acl-long.581},
  url = {https://aclanthology.org/2025.acl-long.581/},
}

EMNLP

GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning

Guizhen Chen, Weiwen Xu, Hao Zhang, and 4 more authors

In Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DOI Bib HTML PDF

@inproceedings{chen2025geopqabridgingthevisualperceptionga,
  title = {{{G}eo{PQA}: Bridging the Visual Perception Gap in {MLLM}s for Geometric Reasoning}},
  author = {Chen, Guizhen and Xu, Weiwen and Zhang, Hao and Chan, Hou Pong and Zhao, Deli and Luu, Anh Tuan and Rong, Yu},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2025},
  year = {2025},
  pages = {25680--25688},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.findings-emnlp.1400},
  url = {https://aclanthology.org/2025.findings-emnlp.1400/},
}

ACL

FineReason: Evaluating and Improving LLMs’ Deliberate Reasoning through Reflective Puzzle Solving

Guizhen Chen, Weiwen Xu, Hao Zhang, and 6 more authors

In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DOI Bib HTML PDF

@inproceedings{chen2025finereasonevaluatingandimprovingllm,
  title = {{{F}ine{R}eason: Evaluating and Improving {LLM}s' Deliberate Reasoning through Reflective Puzzle Solving}},
  author = {Chen, Guizhen and Xu, Weiwen and Zhang, Hao and Chan, Hou Pong and Liu, Chaoqun and Bing, Lidong and Zhao, Deli and Luu, Anh Tuan and Rong, Yu},
  booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2025},
  pages = {6685--6715},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.acl-long.333},
  url = {https://aclanthology.org/2025.acl-long.333/},
}

ACL

CodeArena: A Collective Evaluation Platform for LLM Code Generation

Mingzhe Du, Anh Tuan Luu, Bin Ji, and 6 more authors

In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

DOI Bib HTML PDF

@inproceedings{du2025codearenaacollectiveevaluationplatf,
  title = {{{C}ode{A}rena: A Collective Evaluation Platform for {LLM} Code Generation}},
  author = {Du, Mingzhe and Luu, Anh Tuan and Ji, Bin and Wu, Xiaobao and Qing, Yuhao and Huang, Dong and Zhuo, Terry Yue and Liu, Qian and Ng, See-Kiong},
  booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)},
  year = {2025},
  pages = {502--512},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.acl-demo.48},
  url = {https://aclanthology.org/2025.acl-demo.48/},
}

ACL

ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations

Quang Hieu Pham, Thuy Duong Nguyen, Tung Pham, and 2 more authors

In Findings of the Association for Computational Linguistics: ACL 2025, 2025

DOI Bib HTML PDF

@inproceedings{pham2025clozemathimprovingmathematicalreaso,
  title = {{{C}loze{M}ath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations}},
  author = {Pham, Quang Hieu and Nguyen, Thuy Duong and Pham, Tung and Luu, Anh Tuan and Nguyen, Dat Quoc},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2025},
  year = {2025},
  pages = {14322--14329},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.findings-acl.738},
  url = {https://aclanthology.org/2025.findings-acl.738/},
}

ACL

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge

Xiaobao Wu, Liangming Pan, Yuxi Xie, and 7 more authors

In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DOI Bib HTML PDF

@inproceedings{wu2025antileakbenchpreventingdatacontamin,
  title = {{{A}nti{L}eak{B}ench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge}},
  author = {Wu, Xiaobao and Pan, Liangming and Xie, Yuxi and Zhou, Ruiwen and Zhao, Shuai and Ma, Yubo and Du, Mingzhe and Mao, Rui and Luu, Anh Tuan and Wang, William Yang},
  booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2025},
  pages = {18403--18419},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.acl-long.901},
  url = {https://aclanthology.org/2025.acl-long.901/},
}

COLING

Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels

Chaoqun Liu, Qin Chao, Wenxuan Zhang, and 4 more authors

In Proceedings of the 31st International Conference on Computational Linguistics, 2025

Bib HTML PDF

@inproceedings{liu2025zerotostronggeneralizationeliciting,
  title = {{Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels}},
  author = {Liu, Chaoqun and Chao, Qin and Zhang, Wenxuan and Wu, Xiaobao and Li, Boyang and Luu, Anh Tuan and Bing, Lidong},
  booktitle = {Proceedings of the 31st International Conference on Computational Linguistics},
  year = {2025},
  pages = {3716--3731},
  publisher = {Association for Computational Linguistics},
  url = {https://aclanthology.org/2025.coling-main.251/},
}

EMNLP

Unsupervised Hallucination Detection by Inspecting Reasoning Processes

Ponhvoan Srey, Xiaobao Wu, and Anh Tuan Luu

In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DOI Bib HTML PDF

@inproceedings{srey2025unsupervisedhallucinationdetectionb,
  title = {{Unsupervised Hallucination Detection by Inspecting Reasoning Processes}},
  author = {Srey, Ponhvoan and Wu, Xiaobao and Luu, Anh Tuan},
  booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
  year = {2025},
  pages = {22117--22129},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.emnlp-main.1124},
  url = {https://aclanthology.org/2025.emnlp-main.1124/},
}

ACL

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation

Shuai Zhao, Xiaobao Wu, Cong-Duy T Nguyen, and 4 more authors

In Findings of the Association for Computational Linguistics: ACL 2025, 2025

DOI Bib HTML PDF

@inproceedings{zhao2025unlearningbackdoorattacksforllmswit,
  title = {{Unlearning Backdoor Attacks for {LLM}s with Weak-to-Strong Knowledge Distillation}},
  author = {Zhao, Shuai and Wu, Xiaobao and Nguyen, Cong-Duy T and Jia, Yanhao and Jia, Meihuizi and Yichao, Feng and Luu, Anh Tuan},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2025},
  year = {2025},
  pages = {4937--4952},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.findings-acl.255},
  url = {https://aclanthology.org/2025.findings-acl.255/},
}

Preprint

Temporal-Oriented Recipe for Transferring Large Vision-Language Model to Video Understanding

Thong Nguyen, Zhiyuan Hu, Xu Lin, and 3 more authors

2025

arXiv preprint

arXiv Bib HTML PDF

@misc{nguyen2025temporalorientedrecipefortransferri,
  title = {{Temporal-Oriented Recipe for Transferring Large Vision-Language Model to Video Understanding}},
  author = {Nguyen, Thong and Hu, Zhiyuan and Lin, Xu and Nguyen, Cong-Duy and Ng, See-Kiong and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2025},
  url = {https://arxiv.org/abs/2505.12605},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

AAAI

Multi-Scale Contrastive Learning for Video Temporal Grounding

Thong Thanh Nguyen, Yi Bin, Xiaobao Wu, and 4 more authors

In AAAI, 2025

Bib HTML

@inproceedings{nguyen2025multiscalecontrastivelearningforvid,
  title = {{Multi-Scale Contrastive Learning for Video Temporal Grounding}},
  author = {Nguyen, Thong Thanh and Bin, Yi and Wu, Xiaobao and Hu, Zhiyuan and Nguyen, Cong-Duy T and Ng, See-Kiong and Luu, Anh Tuan},
  booktitle = {AAAI},
  year = {2025},
  volume = {39},
  number = {6},
  pages = {6227-6235},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32666},
}

AAAI

Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation

Thong Thanh Nguyen, Xiaobao Wu, Yi Bin, and 3 more authors

In AAAI, 2025

Bib HTML

@inproceedings{nguyen2025motionawarecontrastivelearningforte,
  title = {{Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation}},
  author = {Nguyen, Thong Thanh and Wu, Xiaobao and Bin, Yi and Nguyen, Cong-Duy T and Ng, See-Kiong and Luu, Anh Tuan},
  booktitle = {AAAI},
  year = {2025},
  volume = {39},
  number = {6},
  pages = {6218-6226},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32665},
}

ACL

Massively Multilingual Instruction-Following Information Extraction

Thang Le, Huy Huu Nguyen, Anh Tuan Luu, and 1 more author

In Findings of the Association for Computational Linguistics: ACL 2025, 2025

DOI Bib HTML PDF

@inproceedings{le2025massivelymultilingualinstructionfol,
  title = {{Massively Multilingual Instruction-Following Information Extraction}},
  author = {Le, Thang and Nguyen, Huy Huu and Luu, Anh Tuan and Nguyen, Thien Huu},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2025},
  year = {2025},
  pages = {3542--3585},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.findings-acl.182},
  url = {https://aclanthology.org/2025.findings-acl.182/},
}

ICML

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search

Haoran Luo, Haihong E, Yikai Guo, and 7 more authors

In ICML, 2025

arXiv Bib HTML PDF

@inproceedings{luo2025kbqao1agenticknowledgebasequestiona,
  title = {{KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search}},
  author = {Luo, Haoran and E, Haihong and Guo, Yikai and Lin, Qika and Wu, Xiaobao and Mu, Xinyu and Liu, Wenhao and Song, Meina and Zhu, Yifan and Luu, Anh Tuan},
  booktitle = {ICML},
  year = {2025},
  url = {https://arxiv.org/abs/2501.18922},
}

NAACL

Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models

Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, and 2 more authors

In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2025

DOI Bib HTML PDF

@inproceedings{liu2025istranslationallyouneedastudyonsolv,
  title = {{Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models}},
  author = {Liu, Chaoqun and Zhang, Wenxuan and Zhao, Yiran and Luu, Anh Tuan and Bing, Lidong},
  booktitle = {Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
  year = {2025},
  pages = {9594--9614},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.naacl-long.485},
  url = {https://aclanthology.org/2025.naacl-long.485/},
}

NeurIPS

HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation

Haoran Luo, Haihong E, Guanting Chen, and 9 more authors

In NeurIPS, 2025

Bib HTML

@inproceedings{luo2025hypergraphragretrievalaugmentedgene,
  title = {{HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation}},
  author = {Luo, Haoran and E, Haihong and Chen, Guanting and Zheng, Yandan and Wu, Xiaobao and Guo, Yikai and Lin, Qika and Feng, Yu and Kuang, Zemin and Song, Meina and Zhu, Yifan and Luu, Anh Tuan},
  booktitle = {NeurIPS},
  year = {2025},
  volume = {38},
  pages = {152206-152234},
  url = {https://proceedings.neurips.cc/paper_files/paper/2025/hash/df55ee6e59f8ac4a625219e11fe9ddba-Abstract-Conference.html},
}

Preprint

Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation

Zhiyuan Hu, Shiyun Xiong, Yifan Zhang, and 5 more authors

2025

arXiv preprint

arXiv Bib HTML PDF

@misc{hu2025guidingvlmagentswithprocessrewardsa,
  title = {{Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation}},
  author = {Hu, Zhiyuan and Xiong, Shiyun and Zhang, Yifan and Ng, See-Kiong and Luu, Anh Tuan and An, Bo and Yan, Shuicheng and Hooi, Bryan},
  journal = {arXiv preprint},
  year = {2025},
  url = {https://arxiv.org/abs/2504.16073},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

ACL

Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning

Huimin Xu, Xin Mao, Feng-Lin Li, and 4 more authors

In Findings of the Association for Computational Linguistics: ACL 2025, 2025

DOI Bib HTML PDF

@inproceedings{xu2025fullstepdposelfsupervisedpreference,
  title = {{Full-Step-{DPO}: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning}},
  author = {Xu, Huimin and Mao, Xin and Li, Feng-Lin and Wu, Xiaobao and Chen, Wang and Zhang, Wei and Luu, Anh Tuan},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2025},
  year = {2025},
  pages = {24343--24356},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.findings-acl.1249},
  url = {https://aclanthology.org/2025.findings-acl.1249/},
}

NAACL

Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation

Cong-Duy T Nguyen, Xiaobao Wu, Thong Thanh Nguyen, and 5 more authors

In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2025

DOI Bib HTML PDF

@inproceedings{nguyen2025enhancingmultimodalentitylinkingwit,
  title = {{Enhancing Multimodal Entity Linking with {J}accard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation}},
  author = {Nguyen, Cong-Duy T and Wu, Xiaobao and Nguyen, Thong Thanh and Zhao, Shuai and Le, Khoi M. and Anh, Nguyen Viet and Yichao, Feng and Luu, Anh Tuan},
  booktitle = {Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
  year = {2025},
  pages = {6695--6708},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.naacl-long.341},
  url = {https://aclanthology.org/2025.naacl-long.341/},
}

NeurIPS

EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code

Yuhao Qing, Boyu Zhu, Mingzhe Du, and 9 more authors

In NeurIPS, 2025

Bib HTML

@inproceedings{qing2025effibenchxamultilanguagebenchmarkfo,
  title = {{EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code}},
  author = {Qing, Yuhao and Zhu, Boyu and Du, Mingzhe and Guo, Zhijiang and Zhuo, Terry Yue and Zhang, Qianru and Zhang, Jie and Cui, Heming and Yiu, Siu Ming and Huang, Dong and Ng, See-Kiong and Luu, Anh Tuan},
  booktitle = {NeurIPS},
  year = {2025},
  volume = {38},
  url = {https://proceedings.neurips.cc/paper_files/paper/2025/hash/6b8198f777d1ba87a8250368db2ea16a-Abstract-Datasets_and_Benchmarks_Track.html},
}

Neurocomputing

Dynamic task balancing for joint information extraction

Anran Hao, Shuo Sun, Jian Su, and 2 more authors

Neurocomputing, 2025

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@article{hao2025dynamictaskbalancingforjointinforma,
  title = {{Dynamic task balancing for joint information extraction}},
  author = {Hao, Anran and Sun, Shuo and Su, Jian and Hui, Siu Cheung and Luu, Anh Tuan},
  journal = {Neurocomputing},
  year = {2025},
  volume = {648},
  pages = {130638},
  publisher = {Elsevier},
  url = {https://www.sciencedirect.com/science/article/pii/S0925231225013104},
}

NAACL

Discrete Diffusion Language Model for Efficient Text Summarization

Do Huu Dat, Duc Anh Do, Anh Tuan Luu, and 1 more author

In Findings of the Association for Computational Linguistics: NAACL 2025, 2025

DOI Bib HTML PDF

@inproceedings{dat2025discretediffusionlanguagemodelforef,
  title = {{Discrete Diffusion Language Model for Efficient Text Summarization}},
  author = {Dat, Do Huu and Do, Duc Anh and Luu, Anh Tuan and Buntine, Wray},
  booktitle = {Findings of the Association for Computational Linguistics: NAACL 2025},
  year = {2025},
  pages = {6293--6305},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.findings-naacl.352},
  url = {https://aclanthology.org/2025.findings-naacl.352/},
}

EMNLP

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Siyue Zhang, Yilun Zhao, Liyuan Geng, and 3 more authors

In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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@inproceedings{zhang2025diffusionvsautoregressivelanguagemo,
  title = {{Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective}},
  author = {Zhang, Siyue and Zhao, Yilun and Geng, Liyuan and Cohan, Arman and Luu, Anh Tuan and Zhao, Chen},
  booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
  year = {2025},
  pages = {4273--4303},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.emnlp-main.213},
  url = {https://aclanthology.org/2025.emnlp-main.213/},
}

Preprint

CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base

Cong-Duy Nguyen, Xiaobao Wu, Duc Anh Vu, and 3 more authors

2025

arXiv preprint

arXiv Bib HTML PDF

@misc{nguyen2025cutpastefindefficientmultimodalhall,
  title = {{CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base}},
  author = {Nguyen, Cong-Duy and Wu, Xiaobao and Vu, Duc Anh and Zhao, Shuai and Nguyen, Thong and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2025},
  url = {https://arxiv.org/abs/2502.12591},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

SAC

Curriculum demonstration selection for in-context learning

Duc Anh Vu, Cong-Duy Nguyen, Xiaobao Wu, and 4 more authors

In Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

DOI Bib HTML

@inproceedings{vu2025curriculumdemonstrationselectionfor,
  title = {{Curriculum demonstration selection for in-context learning}},
  author = {Vu, Duc Anh and Nguyen, Cong-Duy and Wu, Xiaobao and Hoang, Nhat and Du, Mingzhe and Nguyen, Thong and Luu, Anh Tuan},
  booktitle = {Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing},
  year = {2025},
  pages = {1004-1006},
  doi = {10.1145/3672608.3707810},
  url = {https://dl.acm.org/doi/abs/10.1145/3672608.3707810},
}

ICML

Collective Bias Mitigation via Model Routing and Collaboration

Mingzhe Du, Anh Tuan Luu, Xiaobao Wu, and 7 more authors

In ICML 2025 Workshop on Collaborative and Federated Agentic Workflows, 2025

Bib HTML

@inproceedings{du2025collectivebiasmitigationviamodelrou,
  title = {{Collective Bias Mitigation via Model Routing and Collaboration}},
  author = {Du, Mingzhe and Luu, Anh Tuan and Wu, Xiaobao and Huang, Yichong and Liu, Yue and Huang, Dong and Liu, Huijun and Ji, Bin and Zhang, Jie M and Ng, See-Kiong},
  booktitle = {ICML 2025 Workshop on Collaborative and Federated Agentic Workflows},
  year = {2025},
  url = {https://openreview.net/forum?id=YWJYJduVej},
}

ESWA

Clean-label Backdoor Attack and Defense: An Examination of Language Model Vulnerability

Shuai Zhao, Xiaoyu Xu, Luwei Xiao, and 2 more authors

Expert Systems with Applications, 2025

Bib HTML

@article{zhao2025clean,
  title = {{Clean-label Backdoor Attack and Defense: An Examination of Language Model Vulnerability}},
  author = {Zhao, Shuai and Xu, Xiaoyu and Xiao, Luwei and Wen, Jinming and Luu, Anh Tuan},
  journal = {Expert Systems with Applications},
  year = {2025},
  volume = {265},
  pages = {125856},
  publisher = {Pergamon},
  url = {https://www.sciencedirect.com/science/article/pii/S0957417424027234},
}

ACL

Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines

Do Xuan Long, Duong Ngoc Yen, Do Xuan Trong, and 5 more authors

In Findings of the Association for Computational Linguistics: ACL 2025, 2025

DOI Bib HTML PDF

@inproceedings{long2025beyondincontextlearningaligninglong,
  title = {{Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines}},
  author = {Long, Do Xuan and Yen, Duong Ngoc and Trong, Do Xuan and Luu, Anh Tuan and Kawaguchi, Kenji and Joty, Shafiq and Kan, Min-Yen and Chen, Nancy F.},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2025},
  year = {2025},
  pages = {3377--3411},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2025.findings-acl.176},
  url = {https://aclanthology.org/2025.findings-acl.176/},
}

IJCNN

Aspect-based summarization with self-aspect retrieval enhanced generation

Yichao Feng, Shuai Zhao, Yueqiu Li, and 3 more authors

In 2025 International Joint Conference on Neural Networks (IJCNN), 2025

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@inproceedings{feng2025aspectbasedsummarizationwithselfasp,
  title = {{Aspect-based summarization with self-aspect retrieval enhanced generation}},
  author = {Feng, Yichao and Zhao, Shuai and Li, Yueqiu and Xiao, Luwei and Wu, Xiaobao and Luu, Anh Tuan},
  booktitle = {2025 International Joint Conference on Neural Networks (IJCNN)},
  year = {2025},
  pages = {1-8},
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/11228609/},
}

ICLR

As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss

Xin Mao, Huimin Xu, Feng-Lin Li, and 4 more authors

In ICLR, 2025

Bib HTML

@inproceedings{mao2025assimpleasfinetuningllmalignmentvia,
  title = {{As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss}},
  author = {Mao, Xin and Xu, Huimin and Li, Feng-Lin and Jin, Ziqi and Chen, Wang and Zhang, Wei and Luu, Anh Tuan},
  booktitle = {ICLR},
  year = {2025},
  volume = {2025},
  pages = {30610-30631},
  url = {https://proceedings.iclr.cc/paper_files/paper/2025/hash/4bc4e9ecd5ae4a75048dc216a770cba1-Abstract-Conference.html},
}

NeurIPS

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization

Mingzhe Du, Anh Tuan Luu, Yue Liu, and 6 more authors

In NeurIPS, 2025

Bib HTML

@inproceedings{du2025afterburnerreinforcementlearningfac,
  title = {{Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization}},
  author = {Du, Mingzhe and Luu, Anh Tuan and Liu, Yue and Qing, Yuhao and Huang, Dong and He, Xinyi and Liu, Qian and Ma, Zejun and Ng, See-kiong},
  booktitle = {NeurIPS},
  year = {2025},
  volume = {38},
  pages = {8979-9011},
  url = {https://proceedings.neurips.cc/paper_files/paper/2025/hash/0d1d415fb1a14ba3bb56b831d1eecbe7-Abstract-Conference.html},
}

TAFFC

Affective-Roptester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity

Shuai Zhao, Yulin Zhang, Luwei Xiao, and 7 more authors

IEEE Transactions on Affective Computing, 2025

Bib HTML

@article{zhao2025affectiveroptestercapabilityandbias,
  title = {{Affective-Roptester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity}},
  author = {Zhao, Shuai and Zhang, Yulin and Xiao, Luwei and Wu, Xinyi and Jia, Yanhao and Guo, Zhongliang and Wu, Xiaobao and Nguyen, Cong-Duy and Zhang, Guoming and Luu, Anh Tuan},
  journal = {IEEE Transactions on Affective Computing},
  year = {2025},
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/11240127/},
}

TMLR

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models

Shuai Zhao, Meihuizi Jia, Zhongliang Guo, and 7 more authors

Transactions on Machine Learning Research, 2025

arXiv Bib HTML PDF

@article{zhao2025asurveyofrecentbackdoorattacksandde,
  title = {{A Survey of Recent Backdoor Attacks and Defenses in Large Language Models}},
  author = {Zhao, Shuai and Jia, Meihuizi and Guo, Zhongliang and Gan, Leilei and Xu, Xiaoyu and Wu, Xiaobao and Fu, Jie and Feng, Yichao and Pan, Fengjun and Luu, Anh Tuan},
  journal = {Transactions on Machine Learning Research},
  year = {2025},
  url = {https://arxiv.org/abs/2406.06852},
}

Preprint

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Kun Wang, Guibin Zhang, Zhenhong Zhou, and 100 more authors

2025

arXiv preprint

arXiv Bib HTML PDF

@misc{wang2025acomprehensivesurveyinllmagentfulls,
  title = {{A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment}},
  author = {Wang, Kun and Zhang, Guibin and Zhou, Zhenhong and Wu, Jiahao and Yu, Miao and Zhao, Shiqian and Yin, Chenlong and Fu, Jinhu and Yan, Yibo and Luo, Hanjun and Lin, Liang and Xu, Zhihao and Lu, Haolang and Cao, Xinye and Zhou, Xinyun and Jin, Weifei and Meng, Fanci and Xu, Shicheng and Mao, Junyuan and Wang, Yu and Wu, Hao and Wang, Minghe and Zhang, Fan and Fang, Junfeng and Qu, Wenjie and Liu, Yue and Liu, Chengwei and Zhang, Yifan and Li, Qiankun and Guo, Chongye and Qin, Yalan and Fan, Zhaoxin and Wang, Kai and Ding, Yi and Hong, Donghai and Ji, Jiaming and Lai, Yingxin and Yu, Zitong and Li, Xinfeng and Jiang, Yifan and Li, Yanhui and Deng, Xinyu and Wu, Junlin and Wang, Dongxia and Huang, Yihao and Guo, Yufei and Huang, Jen-tse and Wang, Qiufeng and Jin, Xiaolong and Wang, Wenxuan and Liu, Dongrui and Yue, Yanwei and Huang, Wenke and Wan, Guancheng and Chang, Heng and Li, Tianlin and Yu, Yi and Li, Chenghao and Li, Jiawei and Bai, Lei and Zhang, Jie and Guo, Qing and Wang, Jingyi and Chen, Tianlong and Zhou, Joey Tianyi and Jia, Xiaojun and Sun, Weisong and Wu, Cong and Chen, Jing and Hu, Xuming and Li, Yiming and Wang, Xiao and Zhang, Ningyu and Luu, Anh Tuan and Xu, Guowen and Zhang, Jiaheng and Zhang, Tianwei and Ma, Xingjun and Gu, Jindong and Pang, Liang and Wang, Xiang and An, Bo and Sun, Jun and Bansal, Mohit and Pan, Shirui and Lyu, Lingjuan and Elovici, Yuval and Kailkhura, Bhavya and Yang, Yaodong and Li, Hongwei and Xu, Wenyuan and Sun, Yizhou and Wang, Wei and Li, Qing and Tang, Ke and Jiang, Yu-Gang and Juefei-Xu, Felix and Xiong, Hui and Wang, Xiaofeng and Tao, Dacheng and Yu, Philip S. and Wen, Qingsong and Liu, Yang},
  journal = {arXiv preprint},
  year = {2025},
  url = {https://arxiv.org/abs/2504.15585},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

Preprint

A Comparative Analysis of Contextual Representation Flow in State-Space and Transformer Architectures

Nhat M. Hoang, Do Xuan Long, Cong-Duy Nguyen, and 2 more authors

2025

arXiv preprint

arXiv Bib HTML PDF

@misc{hoang2025acomparativeanalysisofcontextualrep,
  title = {{A Comparative Analysis of Contextual Representation Flow in State-Space and Transformer Architectures}},
  author = {Hoang, Nhat M. and Long, Do Xuan and Nguyen, Cong-Duy and Kan, Min-Yen and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2025},
  url = {https://arxiv.org/abs/2510.06640},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

2024

ACL

UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages

Trinh Pham, Khoi Le, and Anh Tuan Luu

In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DOI Bib HTML PDF

@inproceedings{pham2024unibridgeaunifiedapproachtocrosslin,
  title = {{{U}ni{B}ridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages}},
  author = {Pham, Trinh and Le, Khoi and Luu, Anh Tuan},
  booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2024},
  pages = {3168--3184},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.acl-long.174},
  url = {https://aclanthology.org/2024.acl-long.174/},
}

NAACL

ToXCL: A Unified Framework for Toxic Speech Detection and Explanation

Nhat M. Hoang, Xuan Long Do, Duc Anh Do, and 2 more authors

In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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@inproceedings{hoang2024toxclaunifiedframeworkfortoxicspeec,
  title = {{{T}o{XCL}: A Unified Framework for Toxic Speech Detection and Explanation}},
  author = {Hoang, Nhat M. and Do, Xuan Long and Do, Duc Anh and Vu, Duc Anh and Luu, Anh Tuan},
  booktitle = {Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
  year = {2024},
  pages = {6460--6472},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.naacl-long.359},
  url = {https://aclanthology.org/2024.naacl-long.359/},
}

EMNLP
SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA

Siyue Zhang, Anh Tuan Luu, and Chen Zhao

In Findings of the Association for Computational Linguistics: EMNLP 2024, Nov 2024

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Text-to-SQL parsing and end-to-end question answering (E2E TQA) are two main approaches for Table-based Question Answering task. Despite success on multiple benchmarks, they have yet to be compared and their synergy remains unexplored. In this paper, we identify different strengths and weaknesses through evaluating state-of-the-art models on benchmark datasets: Text-to-SQL demonstrates superiority in handling questions involving arithmetic operations and long tables; E2E TQA excels in addressing ambiguous questions, non-standard table schema, and complex table contents. To combine both strengths, we propose a Synergistic Table-based Question Answering approach that integrate different models via answer selection, which is agnostic to any model types. Further experiments validate that ensembling models by either feature-based or LLM-based answer selector significantly improves the performance over individual models.
@inproceedings{zhang-etal-2024-syntqa, title = {{{S}yn{TQA}: Synergistic Table-based Question Answering via Mixture of Text-to-{SQL} and {E}2{E} {TQA}}}, author = {Zhang, Siyue and Luu, Anh Tuan and Zhao, Chen}, booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2024}, year = {2024}, pages = {2352--2364}, publisher = {Association for Computational Linguistics}, doi = {10.18653/v1/2024.findings-emnlp.131}, url = {https://aclanthology.org/2024.findings-emnlp.131/}, month = nov }

NAACL

SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks

Brian Formento, Wenjie Feng, Chuan-Sheng Foo, and 2 more authors

In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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@inproceedings{formento2024semrodemacroadversarialtrainingtole,
  title = {{{S}em{R}o{D}e: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks}},
  author = {Formento, Brian and Feng, Wenjie and Foo, Chuan-Sheng and Luu, Anh Tuan and Ng, See-Kiong},
  booktitle = {Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
  year = {2024},
  pages = {8005--8028},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.naacl-long.443},
  url = {https://aclanthology.org/2024.naacl-long.443/},
}

NAACL

KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning

Cong-Duy Nguyen, Thong Nguyen, Xiaobao Wu, and 1 more author

In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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@inproceedings{nguyen2024kdmcseknowledgedistillationmultimod,
  title = {{{KDMCSE}: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning}},
  author = {Nguyen, Cong-Duy and Nguyen, Thong and Wu, Xiaobao and Luu, Anh Tuan},
  booktitle = {Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
  year = {2024},
  pages = {733--749},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.naacl-long.42},
  url = {https://aclanthology.org/2024.naacl-long.42/},
}

ACL

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

Haoran Luo, Haihong E, Zichen Tang, and 9 more authors

In Findings of the Association for Computational Linguistics: ACL 2024, 2024

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@inproceedings{luo2024chatkbqaageneratethenretrieveframew,
  title = {{{C}hat{KBQA}: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models}},
  author = {Luo, Haoran and E, Haihong and Tang, Zichen and Peng, Shiyao and Guo, Yikai and Zhang, Wentai and Ma, Chenghao and Dong, Guanting and Song, Meina and Lin, Wei and Zhu, Yifan and Luu, Anh Tuan},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2024},
  year = {2024},
  pages = {2039--2056},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.findings-acl.122},
  url = {https://aclanthology.org/2024.findings-acl.122/},
}

EMNLP

AKEW: Assessing Knowledge Editing in the Wild

Xiaobao Wu, Liangming Pan, William Yang Wang, and 1 more author

In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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@inproceedings{wu2024akew,
  title = {{{AKEW}: Assessing Knowledge Editing in the Wild}},
  author = {Wu, Xiaobao and Pan, Liangming and Wang, William Yang and Luu, Anh Tuan},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
  year = {2024},
  pages = {15118--15133},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.emnlp-main.843},
  url = {https://aclanthology.org/2024.emnlp-main.843/},
}

EMNLP

Who’s Who: Large Language Models Meet Knowledge Conflicts in Practice

Quang Hieu Pham, Hoang Ngo, Anh Tuan Luu, and 1 more author

In Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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@inproceedings{pham2024whoswholargelanguagemodelsmeetknowl,
  title = {{Who{'}s Who: Large Language Models Meet Knowledge Conflicts in Practice}},
  author = {Pham, Quang Hieu and Ngo, Hoang and Luu, Anh Tuan and Nguyen, Dat Quoc},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2024},
  year = {2024},
  pages = {10142--10151},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.findings-emnlp.593},
  url = {https://aclanthology.org/2024.findings-emnlp.593/},
}

ACL

Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives

Thong Nguyen, Yi Bin, Junbin Xiao, and 6 more authors

In Findings of the Association for Computational Linguistics: ACL 2024, 2024

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@inproceedings{nguyen2024videolanguageunderstandingasurveyfr,
  title = {{Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives}},
  author = {Nguyen, Thong and Bin, Yi and Xiao, Junbin and Qu, Leigang and Li, Yicong and Wu, Jay Zhangjie and Nguyen, Cong-Duy and Ng, See-Kiong and Luu, Anh Tuan},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2024},
  year = {2024},
  pages = {3636--3657},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.findings-acl.217},
  url = {https://aclanthology.org/2024.findings-acl.217/},
}

EMNLP
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning

Shuai Zhao, Meihuizi Jia, Anh Tuan Luu, and 2 more authors

In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Nov 2024

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In-context learning, a paradigm bridging the gap between pre-training and fine-tuning, has demonstrated high efficacy in several NLP tasks, especially in few-shot settings. Despite being widely applied, in-context learning is vulnerable to malicious attacks. In this work, we raise security concerns regarding this paradigm. Our studies demonstrate that an attacker can manipulate the behavior of large language models by poisoning the demonstration context, without the need for fine-tuning the model. Specifically, we design a new backdoor attack method, named ICLAttack, to target large language models based on in-context learning. Our method encompasses two types of attacks: poisoning demonstration examples and poisoning demonstration prompts, which can make models behave in alignment with predefined intentions. ICLAttack does not require additional fine-tuning to implant a backdoor, thus preserving the model‘s generality. Furthermore, the poisoned examples are correctly labeled, enhancing the natural stealth of our attack method. Extensive experimental results across several language models, ranging in size from 1.3B to 180B parameters, demonstrate the effectiveness of our attack method, exemplified by a high average attack success rate of 95.0% across the three datasets on OPT models.
@inproceedings{zhao-etal-2024-universal, title = {{Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning}}, author = {Zhao, Shuai and Jia, Meihuizi and Luu, Anh Tuan and Pan, Fengjun and Wen, Jinming}, booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing}, year = {2024}, pages = {11507--11522}, publisher = {Association for Computational Linguistics}, doi = {10.18653/v1/2024.emnlp-main.642}, url = {https://aclanthology.org/2024.emnlp-main.642/}, month = nov }

NeurIPS

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs

Zhiyuan Hu, Chumin Liu, Xidong Feng, and 6 more authors

In NeurIPS, 2024

Bib HTML

@inproceedings{hu2025uncertainty,
  title = {{Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs}},
  author = {Hu, Zhiyuan and Liu, Chumin and Feng, Xidong and Zhao, Yilun and Ng, See-Kiong and Luu, Anh Tuan and He, Junxian and Koh, Pang Wei and Hooi, Bryan},
  booktitle = {NeurIPS},
  year = {2024},
  volume = {37},
  pages = {24181-24215},
  url = {https://proceedings.neurips.cc/paper_files/paper/2024/hash/2b0e14abd8128e6bf98b6b0bec1cfcbf-Abstract-Conference.html},
}

ACL

Towards the TopMost: A Topic Modeling System Toolkit

Xiaobao Wu, Fengjun Pan, and Anh Tuan Luu

In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024

DOI Bib HTML PDF

@inproceedings{wu2024towardsthetopmostatopicmodelingsyst,
  title = {{Towards the {T}op{M}ost: A Topic Modeling System Toolkit}},
  author = {Wu, Xiaobao and Pan, Fengjun and Luu, Anh Tuan},
  booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)},
  year = {2024},
  pages = {31--41},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.acl-demos.4},
  url = {https://aclanthology.org/2024.acl-demos.4/},
}

ICLR

Topic Modeling as Multi-Objective Contrastive Optimization

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, and 3 more authors

In ICLR, 2024

Bib HTML

@inproceedings{nguyen2024topicmodelingasmultiobjectivecontra,
  title = {{Topic Modeling as Multi-Objective Contrastive Optimization}},
  author = {Nguyen, Thong and Wu, Xiaobao and Dong, Xinshuai and Nguyen, Cong-Duy T and Ng, See-Kiong and Luu, Anh Tuan},
  booktitle = {ICLR},
  year = {2024},
  url = {https://proceedings.iclr.cc/paper_files/paper/2024/hash/f66340d6f28dae6aab0176892c9065e7-Abstract-Conference.html},
}

NeurIPS

Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary Relational Knowledge Graph Construction

Haoran Luo, Haihong E, Yuhao Yang, and 10 more authors

In NeurIPS, 2024

Bib HTML

@inproceedings{nips2024_2,
  title = {{Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary Relational Knowledge Graph Construction}},
  author = {Luo, Haoran and E, Haihong and Yang, Yuhao and Yao, Tianyu and Guo, Yikai and Tang, Zichen and Zhang, Wentai and Peng, Shiyao and Wan, Kaiyang and Song, Meina and Lin, Wei and Zhu, Yifan and Luu, Anh Tuan},
  booktitle = {NeurIPS},
  year = {2024},
  url = {https://proceedings.neurips.cc/paper_files/paper/2024/hash/305b2288122d46bf0641bdd86c9a7921-Abstract-Conference.html},
}

Preprint

TeLLMe what you see: using LLMs to explain neurons in vision models

Leon Guertler, M Ganesh Kumar, Anh Tuan Luu, and 1 more author

2024

OpenReview manuscript

Bib HTML

@misc{guertler2024tellmewhatyouseeusingllmstoexplainn,
  title = {{TeLLMe what you see: using LLMs to explain neurons in vision models}},
  author = {Guertler, Leon and Kumar, M Ganesh and Luu, Anh Tuan and Tan, Cheston},
  journal = {OpenReview manuscript},
  year = {2024},
  url = {https://openreview.net/forum?id=01ep65umEr},
  note = {OpenReview manuscript},
  howpublished = {OpenReview manuscript}
}

ASE

SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing

An Guo, Yuan Zhou, Haoxiang Tian, and 7 more authors

In ASE, 2024

DOI Bib HTML

@inproceedings{guo2024sovarbuildgeneralizablescenariosfro,
  title = {{SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing}},
  author = {Guo, An and Zhou, Yuan and Tian, Haoxiang and Fang, Chunrong and Sun, Yunjian and Sun, Weisong and Gao, Xinyu and Luu, Anh Tuan and Liu, Yang and Chen, Zhenyu},
  booktitle = {ASE},
  year = {2024},
  pages = {268-280},
  doi = {10.1145/3691620.3695037},
  url = {https://dl.acm.org/doi/abs/10.1145/3691620.3695037},
}

EMNLP

Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths

Yew Ken Chia, Guizhen Chen, Weiwen Xu, and 3 more authors

In Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DOI Bib HTML PDF

@inproceedings{chia2024reasoningpathsoptimizationlearningt,
  title = {{Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths}},
  author = {Chia, Yew Ken and Chen, Guizhen and Xu, Weiwen and Luu, Anh Tuan and Poria, Soujanya and Bing, Lidong},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2024},
  year = {2024},
  pages = {16763--16780},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.findings-emnlp.977},
  url = {https://aclanthology.org/2024.findings-emnlp.977/},
}

AAAI

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, and 5 more authors

In AAAI, 2024

Bib HTML

@inproceedings{nguyen2024readpvlarecurrentadapterwithpartial,
  title = {{READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling}},
  author = {Nguyen, Thong and Wu, Xiaobao and Dong, Xinshuai and Le, Khoi and Hu, Zhiyuan and Nguyen, Cong-Duy and Ng, See-Kiong and Luu, Anh Tuan},
  booktitle = {AAAI},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29847},
}

AAAI

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

Zhiyuan Hu, Chumin Liu, Yue Feng, and 2 more authors

In AAAI, 2024

Bib HTML

@inproceedings{hu2024poetrydiffusiontowardsjointsemantic,
  title = {{PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation}},
  author = {Hu, Zhiyuan and Liu, Chumin and Feng, Yue and Luu, Anh Tuan and Hooi, Bryan},
  booktitle = {AAAI},
  year = {2024},
  volume = {38},
  number = {16},
  pages = {18279-18288},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29787},
}

AAAI

On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling

Xiaobao Wu, Fengjun Pan, Thong Nguyen, and 4 more authors

In AAAI, 2024

Bib HTML

@inproceedings{wu2024ontheaffinityrationalityanddiversit,
  title = {{On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling}},
  author = {Wu, Xiaobao and Pan, Fengjun and Nguyen, Thong and Feng, Yichao and Liu, Chaoqun and Nguyen, Cong-Duy and Luu, Anh Tuan},
  booktitle = {AAAI},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29895},
}

EMNLP

Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models

Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, and 3 more authors

In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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@inproceedings{long2024multiexpertpromptingimprovesreliabi,
  title = {{Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models}},
  author = {Long, Do Xuan and Yen, Duong Ngoc and Luu, Anh Tuan and Kawaguchi, Kenji and Kan, Min-Yen and Chen, Nancy F.},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
  year = {2024},
  pages = {20370--20401},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.emnlp-main.1135},
  url = {https://aclanthology.org/2024.emnlp-main.1135/},
}

TMM

MuJo-SF: Multimodal Joint Slot Filling for Attribute Value Prediction of E-commerce Commodities

Meihuizi Jia, Lei Shen, Anh Tuan Luu, and 5 more authors

IEEE Transactions on Multimedia, Jan 2024

DOI Bib HTML

@article{article,
  title = {{MuJo-SF: Multimodal Joint Slot Filling for Attribute Value Prediction of E-commerce Commodities}},
  author = {Jia, Meihuizi and Shen, Lei and Luu, Anh Tuan and Chen, Meng and Xu, Jing and Liao, Lejian and Yuan, Shaozu and He, Xiaodong},
  journal = {IEEE Transactions on Multimedia},
  year = {2024},
  volume = {26},
  pages = {10354-10366},
  publisher = {IEEE},
  doi = {10.1109/TMM.2024.3407667},
  url = {https://ieeexplore.ieee.org/abstract/document/10542441/},
  month = jan
}

ACL

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion

Xiaobao Wu, Xinshuai Dong, Liangming Pan, and 2 more authors

In Findings of the Association for Computational Linguistics: ACL 2024, 2024

DOI Bib HTML PDF

@inproceedings{wu2024modelingdynamictopicsinchainfreefas,
  title = {{Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion}},
  author = {Wu, Xiaobao and Dong, Xinshuai and Pan, Liangming and Nguyen, Thong and Luu, Anh Tuan},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2024},
  year = {2024},
  pages = {3088--3105},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.findings-acl.183},
  url = {https://aclanthology.org/2024.findings-acl.183/},
}

ECCV

Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning

Thong Nguyen, Yi Bin, Xiaobao Wu, and 6 more authors

In ECCV, 2024

DOI Bib HTML

@inproceedings{nguyen2024metaoptimizedangularmargincontrasti,
  title = {{Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning}},
  author = {Nguyen, Thong and Bin, Yi and Wu, Xiaobao and Dong, Xinshuai and Hu, Zhiyuan and Le, Khoi and Nguyen, Cong-Duy and Ng, See-Kiong and Luu, Anh Tuan},
  booktitle = {ECCV},
  year = {2024},
  pages = {77-98},
  publisher = {Springer Nature Switzerland},
  doi = {10.1007/978-3-031-72989-8_5},
  url = {https://link.springer.com/chapter/10.1007/978-3-031-72989-8_5},
}

NeurIPS

Mercury: A Code Efficiency Benchmark for Code Large Language Models

Mingzhe Du, Anh Tuan Luu, Bin Ji, and 2 more authors

In NeurIPS, 2024

Bib HTML

@inproceedings{du2024mercury,
  title = {{Mercury: A Code Efficiency Benchmark for Code Large Language Models}},
  author = {Du, Mingzhe and Luu, Anh Tuan and Ji, Bin and Liu, Qian and Ng, See-Kiong},
  booktitle = {NeurIPS},
  year = {2024},
  url = {https://proceedings.neurips.cc/paper_files/paper/2024/hash/1df1df43b58845650b8dada00fca9772-Abstract-Datasets_and_Benchmarks_Track.html},
}

ESWA

Learning facial expression and body gesture visual information for video emotion recognition

Jie Wei, Guanyu Hu, Xinyu Yang, and 2 more authors

Expert Systems with Applications, Feb 2024

DOI Bib HTML

@article{10.1016/j.eswa.2023.121419,
  title = {{Learning facial expression and body gesture visual information for video emotion recognition}},
  author = {Wei, Jie and Hu, Guanyu and Yang, Xinyu and Luu, Anh Tuan and Dong, Yizhuo},
  journal = {Expert Systems with Applications},
  year = {2024},
  volume = {237},
  number = {PA},
  pages = {121419},
  publisher = {Pergamon},
  doi = {10.1016/j.eswa.2023.121419},
  url = {https://www.sciencedirect.com/science/article/pii/S0957417423019218},
  issn = {0957-4174},
  keywords = {Video emotion recognition, Facial expression, Spatio-temporal features, Body joints, Gesture representation},
  month = feb
}

AAAI

LAMPAT: Low-rank Adaption for Multilingual Paraphrasing using Adversarial Training

Khoi M Le, Trinh Pham, Tho Quan, and 1 more author

In AAAI, 2024

Bib HTML

@inproceedings{le2024lampatlowrankadaptionformultilingua,
  title = {{LAMPAT: Low-rank Adaption for Multilingual Paraphrasing using Adversarial Training}},
  author = {Le, Khoi M and Pham, Trinh and Quan, Tho and Luu, Anh Tuan},
  booktitle = {AAAI},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29804},
}

TMC
Joint Client-and-Sample Selection for Federated Learning via Bi-level Optimization

Anran Li, Guangjing Wang, Ming Hu, and 4 more authors

IEEE Transactions on Mobile Computing, Dec 2024

Abs DOI Bib HTML

Federated Learning (FL) enables massive local data owners to collaboratively train a deep learning model without disclosing their private data. The importance of local data samples from various data owners to FL models varies widely. This is exacerbated by the presence of noisy data that exhibit large losses similar to important (hard) samples. Currently, there lacks an FL approach that can effectively distinguish hard samples (which are beneficial) from noisy samples (which are harmful). To bridge this gap, we propose the joint Federated Meta-Weighting based Client and Sample Selection (FedMW-CSS) approach to simultaneously mitigate label noise and hard sample selection. It is a bilevel optimization approach for FL client-and-sample selection and global model construction to achieve hard sample-aware noise-robust learning in a privacy preserving manner. It performs meta-learning based online approximation to iteratively update global FL models, select the most positively influential samples and deal with training data noise. To utilize both the instance-level information and class-level information for better performance improvements, FedMW-CSS efficiently learns a class-level weight by manipulating gradients at the class level, e.g., it performs a gradient descent step on class-level weights, which only relies on intermediate gradients. Theoretically, we analyze the privacy guarantees and convergence of FedMW-CSS. Extensive experiments comparison against eight state-of-the-art baselines on six real-world datasets in the presence of data noise and heterogeneity shows that FedMW-CSS achieves up to 28.5% higher test accuracy, while saving communication and computation costs by at least 49.3% and 1.2%, respectively.
@article{10668811, title = {{Joint Client-and-Sample Selection for Federated Learning via Bi-level Optimization}}, author = {Li, Anran and Wang, Guangjing and Hu, Ming and Sun, Jianfei and Zhang, Lan and Luu, Anh Tuan and Yu, Han}, journal = {IEEE Transactions on Mobile Computing}, year = {2024}, volume = {23}, number = {12}, pages = {15196-15209}, publisher = {IEEE}, doi = {10.1109/TMC.2024.3455331}, url = {https://ieeexplore.ieee.org/abstract/document/10668811/}, issn = {1558-0660}, keywords = {Training;Computational modeling;Data models;Noise measurement;Noise;Optimization;Servers}, month = dec }

Cognitive Comp.

Incorporating Template-based Contrastive Learning into Cognitively Inspired, Low Resource Relation Extraction

Yandan Zheng and Anh Tuan Luu

Cognitive Computation, Feb 2024

DOI Bib HTML

@article{unknown,
  title = {{Incorporating Template-based Contrastive Learning into Cognitively Inspired, Low Resource Relation Extraction}},
  author = {Zheng, Yandan and Luu, Anh Tuan},
  journal = {Cognitive Computation},
  year = {2024},
  volume = {16},
  number = {6},
  pages = {3228-3240},
  publisher = {Springer US},
  doi = {10.1007/s12559-024-10343-8},
  url = {https://link.springer.com/article/10.1007/s12559-024-10343-8},
  month = feb
}

SIGMOD

Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning

Anran Li, Yuanyuan Chen, Jian Zhang, and 5 more authors

Proceedings of the ACM on Management of Data, 2024

DOI Bib HTML

@article{li2024historicalembeddingguidedefficientl,
  title = {{Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning}},
  author = {Li, Anran and Chen, Yuanyuan and Zhang, Jian and Cheng, Mingfei and Huang, Yihao and Wu, Yueming and Luu, Anh Tuan and Yu, Han},
  journal = {Proceedings of the ACM on Management of Data},
  year = {2024},
  volume = {2},
  number = {3},
  pages = {1-24},
  publisher = {ACM},
  doi = {10.1145/3654947},
  url = {https://dl.acm.org/doi/abs/10.1145/3654947},
}

AAAI

From Static to Dynamic: Knowledge Metabolism for Large Language Models

Mingzhe Du, Anh Tuan Luu, Bin Ji, and 1 more author

In AAAI, 2024

Bib HTML

@inproceedings{du2024fromstatictodynamicknowledgemetabol,
  title = {{From Static to Dynamic: Knowledge Metabolism for Large Language Models}},
  author = {Du, Mingzhe and Luu, Anh Tuan and Ji, Bin and Ng, See-Kiong},
  booktitle = {AAAI},
  year = {2024},
  volume = {38},
  number = {21},
  pages = {23784-23786},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30564},
}

NeurIPS

Fastopic: Pretrained transformer is a fast, adaptive, stable, and transferable topic model

Xiaobao Wu, Thong Thanh Nguyen, Delvin Ce Zhang, and 2 more authors

In NeurIPS, 2024

Bib HTML

@inproceedings{nips2024_4,
  title = {{Fastopic: Pretrained transformer is a fast, adaptive, stable, and transferable topic model}},
  author = {Wu, Xiaobao and Nguyen, Thong Thanh and Zhang, Delvin Ce and Wang, William Yang and Luu, Anh Tuan},
  booktitle = {NeurIPS},
  year = {2024},
  volume = {37},
  pages = {84447-84481},
  url = {https://proceedings.neurips.cc/paper_files/paper/2024/hash/998f8d8ff2697da2eae5f87143668754-Abstract-Conference.html},
}

NAACL

Extractive Summarization with Text Generator

Thang Le and Anh Tuan Luu

In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

DOI Bib HTML PDF

@inproceedings{le2024extractivesummarizationwithtextgene,
  title = {{Extractive Summarization with Text Generator}},
  author = {Le, Thang and Luu, Anh Tuan},
  booktitle = {Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
  year = {2024},
  pages = {157--174},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.naacl-long.9},
  url = {https://aclanthology.org/2024.naacl-long.9/},
}

ACL

Exploring the Potential of Large Language Models in Computational Argumentation

Guizhen Chen, Liying Cheng, Anh Tuan Luu, and 1 more author

In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DOI Bib HTML PDF

@inproceedings{chen2024exploringthepotentialoflargelanguag,
  title = {{Exploring the Potential of Large Language Models in Computational Argumentation}},
  author = {Chen, Guizhen and Cheng, Liying and Luu, Anh Tuan and Bing, Lidong},
  booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2024},
  pages = {2309--2330},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.acl-long.126},
  url = {https://aclanthology.org/2024.acl-long.126/},
}

TASLP

Exploring Clean Label Backdoor Attacks and Defense in Language Models

Shuai Zhao, Anh Tuan Luu, Jie Fu, and 2 more authors

IEEE Transactions on Audio, Speech and Language Processing, 2024

Bib HTML

@article{Zhao2024ExploringCL,
  title = {{Exploring Clean Label Backdoor Attacks and Defense in Language Models}},
  author = {Zhao, Shuai and Luu, Anh Tuan and Fu, Jie and Wen, Jinming and Luo, Weiqi},
  journal = {IEEE Transactions on Audio, Speech and Language Processing},
  year = {2024},
  volume = {32},
  pages = {3014-3024},
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/10549768/},
}

EMNLP
Encoding and Controlling Global Semantics for Long-form Video Question Answering

Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, and 3 more authors

In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Nov 2024

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Seeking answers effectively for long videos is essential to build video question answering (videoQA) systems. Previous methods adaptively select frames and regions from long videos to save computations. However, this fails to reason over the whole sequence of video, leading to sub-optimal performance. To address this problem, we introduce a state space layer (SSL) into multi-modal Transformer to efficiently integrate global semantics of the video, which mitigates the video information loss caused by frame and region selection modules. Our SSL includes a gating unit to enable controllability over the flow of global semantics into visual representations. To further enhance the controllability, we introduce a cross-modal compositional congruence objective to encourage global semantics aligned with the question. To rigorously evaluate long-form videoQA capacity, we construct two new benchmarks Ego-QA and MAD-QA featuring videos of considerably long length, i.e. 17.5 minutes and 1.9 hours, respectively. Extensive experiments demonstrate the superiority of our framework on these new as well as existing datasets.
@inproceedings{nguyen-etal-2024-encoding, title = {{Encoding and Controlling Global Semantics for Long-form Video Question Answering}}, author = {Nguyen, Thong Thanh and Hu, Zhiyuan and Wu, Xiaobao and Nguyen, Cong-Duy T and Ng, See-Kiong and Luu, Anh Tuan}, booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing}, year = {2024}, pages = {7049--7066}, publisher = {Association for Computational Linguistics}, doi = {10.18653/v1/2024.emnlp-main.400}, url = {https://aclanthology.org/2024.emnlp-main.400/}, month = nov }
TMC
Efficient and Privacy-Preserving Feature Importance-based Vertical Federated Learning

Anran Li, Jiahui Huang, Ju Jia, and 5 more authors

IEEE Transactions on Mobile Computing, Jun 2024

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Vertical Federated Learning (VFL) enables multiple data owners, each holding a different subset of features about a largely overlapping set of data samples, to collaboratively train a global model. The quality of data owners’ local features affects the performance of the VFL model, which makes feature selection vitally important. However, existing feature selection methods for VFL either assume the availability of prior knowledge on the number of noisy features or prior knowledge on the post-training threshold of useful features to be selected, making them unsuitable for practical applications. To bridge this gap, we propose the Federated Stochastic Dual-Gate based Feature Selection (FedSDG-FS) approach. It consists of a Gaussian stochastic dual-gate to efficiently approximate the probability of a feature being selected. FedSDG-FS further designs a local embedding perturbation approach to achieve differential privacy for local training data. To reduce overhead, we propose a feature importance initialization method based on Gini impurity, which can accomplish its goals with only two parameter transmissions between the server and the clients. The enhanced version, FedSDG-FS++, protects the privacy for both the clients’ training data and the server’s labels through Partially Homomorphic Encryption (PHE) without relying on a trusted third-party. Theoretically, we analyze the convergence rate, privacy guarantees and security analysis of our methods. Extensive experiments on both synthetic and real-world datasets show that FedSDG-FS and FedSDG-FS++ significantly outperform existing approaches in terms of achieving more accurate selection of high-quality features as well as improving VFL performance in a privacy-preserving manner.
@article{10321722, title = {{Efficient and Privacy-Preserving Feature Importance-based Vertical Federated Learning}}, author = {Li, Anran and Huang, Jiahui and Jia, Ju and Peng, Hongyi and Zhang, Lan and Luu, Anh Tuan and Yu, Han and Li, Xiang-Yang}, journal = {IEEE Transactions on Mobile Computing}, year = {2024}, volume = {23}, number = {6}, pages = {7238-7255}, publisher = {IEEE}, doi = {10.1109/TMC.2023.3333879}, url = {https://ieeexplore.ieee.org/abstract/document/10321722/}, issn = {1558-0660}, keywords = {Feature extraction;Privacy;Data models;Training data;Noise measurement;Training;Mobile computing}, month = jun }

EMNLP

Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration

Xin Mao, Feng-Lin Li, Huimin Xu, and 3 more authors

In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DOI Bib HTML PDF

@inproceedings{mao2024dontforgetyourrewardvalueslanguagem,
  title = {{Don{'}t Forget Your Reward Values: Language Model Alignment via Value-based Calibration}},
  author = {Mao, Xin and Li, Feng-Lin and Xu, Huimin and Zhang, Wei and Chen, Wang and Luu, Anh Tuan},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
  year = {2024},
  pages = {17622--17642},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.emnlp-main.976},
  url = {https://aclanthology.org/2024.emnlp-main.976/},
}

NAACL

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning

Shuai Zhao, Leilei Gan, Anh Tuan Luu, and 4 more authors

In Findings of the Association for Computational Linguistics: NAACL 2024, 2024

DOI Bib HTML PDF

@inproceedings{zhao2024defendingagainstweightpoisoningback,
  title = {{Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning}},
  author = {Zhao, Shuai and Gan, Leilei and Luu, Anh Tuan and Fu, Jie and Lyu, Lingjuan and Jia, Meihuizi and Wen, Jinming},
  booktitle = {Findings of the Association for Computational Linguistics: NAACL 2024},
  year = {2024},
  pages = {3421--3438},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.findings-naacl.217},
  url = {https://aclanthology.org/2024.findings-naacl.217/},
}

ACL

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges

Bosheng Ding, Chengwei Qin, Ruochen Zhao, and 7 more authors

In Findings of the Association for Computational Linguistics: ACL 2024, 2024

DOI Bib HTML PDF

@inproceedings{ding2024dataaugmentationusingllmsdataperspe,
  title = {{Data Augmentation using {LLM}s: Data Perspectives, Learning Paradigms and Challenges}},
  author = {Ding, Bosheng and Qin, Chengwei and Zhao, Ruochen and Luo, Tianze and Li, Xinze and Chen, Guizhen and Xia, Wenhan and Hu, Junjie and Luu, Anh Tuan and Joty, Shafiq},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2024},
  year = {2024},
  pages = {1679--1705},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2024.findings-acl.97},
  url = {https://aclanthology.org/2024.findings-acl.97/},
}

SAC

ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions

Phuoc Van Long Pham, Anh Vu Duc, Nhat Minh Hoang, and 2 more authors

In SAC, 2024

DOI Bib HTML

@inproceedings{pham2024chatgptasamathquestionerevaluatingc,
  title = {{ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions}},
  author = {Pham, Phuoc Van Long and Duc, Anh Vu and Hoang, Nhat Minh and Do, Xuan Long and Luu, Anh Tuan},
  booktitle = {SAC},
  year = {2024},
  pages = {65-73},
  doi = {10.1145/3605098.3636030},
  url = {https://dl.acm.org/doi/abs/10.1145/3605098.3636030},
}

Preprint

Breaking PEFT Limitations: Leveraging Weak-to-Strong Knowledge Transfer for Backdoor Attacks in LLMs

Shuai Zhao, Leilei Gan, Zhongliang Guo, and 5 more authors

2024

arXiv preprint

arXiv Bib HTML PDF

@misc{zhao2024breakingpeftlimitationsleveragingwe,
  title = {{Breaking PEFT Limitations: Leveraging Weak-to-Strong Knowledge Transfer for Backdoor Attacks in LLMs}},
  author = {Zhao, Shuai and Gan, Leilei and Guo, Zhongliang and Wu, Xiaobao and Jia, Yanhao and Xiao, Luwei and Nguyen, Cong-Duy and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2024},
  url = {https://arxiv.org/abs/2409.17946},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

EMNLP
Are LLMs Good Zero-Shot Fallacy Classifiers?

Fengjun Pan, Xiaobao Wu, Zongrui Li, and 1 more author

In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Nov 2024

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Fallacies are defective arguments with faulty reasoning. Detecting and classifying them is a crucial NLP task to prevent misinformation, manipulative claims, and biased decisions. However, existing fallacy classifiers are limited by the requirement for sufficient labeled data for training, which hinders their out-of-distribution (OOD) generalization abilities. In this paper, we focus on leveraging Large Language Models (LLMs) for zero-shot fallacy classification. To elicit fallacy-related knowledge and reasoning abilities of LLMs, we propose diverse single-round and multi-round prompting schemes, applying different taskspecific instructions such as extraction, summarization, and Chain-of-Thought reasoning. With comprehensive experiments on benchmark datasets, we suggest that LLMs could be potential zero-shot fallacy classifiers. In general, LLMs under single-round prompting schemes have achieved acceptable zeroshot performances compared to the best fullshot baselines and can outperform them in all OOD inference scenarios and some opendomain tasks. Our novel multi-round prompting schemes can effectively bring about more improvements, especially for small LLMs. Our analysis further underlines the future research on zero-shot fallacy classification. Codes and data are available at: https://github.com/panFJCharlotte98/Fallacy_Detection.
@inproceedings{pan-etal-2024-llms, title = {{Are {LLM}s Good Zero-Shot Fallacy Classifiers?}}, author = {Pan, Fengjun and Wu, Xiaobao and Li, Zongrui and Luu, Anh Tuan}, booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing}, year = {2024}, pages = {14338--14364}, publisher = {Association for Computational Linguistics}, doi = {10.18653/v1/2024.emnlp-main.794}, url = {https://aclanthology.org/2024.emnlp-main.794/}, month = nov }

AIR

A Survey on Neural Topic Models: Methods, Applications, and Challenges

Xiaobao Wu, Thong Nguyen, and Anh Tuan Luu

Artificial Intelligence Review, Jan 2024

DOI Bib HTML

@article{Wu_2024,
  title = {{A Survey on Neural Topic Models: Methods, Applications, and Challenges}},
  author = {Wu, Xiaobao and Nguyen, Thong and Luu, Anh Tuan},
  journal = {Artificial Intelligence Review},
  year = {2024},
  volume = {57},
  number = {2},
  pages = {18},
  publisher = {Springer Netherlands},
  doi = {10.1007/s10462-023-10661-7},
  url = {https://link.springer.com/article/10.1007/s10462-023-10661-7},
  issn = {1573-7462},
  month = jan
}

2023

EMNLP

DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, and 3 more authors

In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DOI Bib HTML PDF

@inproceedings{nguyen2023demaformerdampedexponentialmovingav,
  title = {{{D}ema{F}ormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding}},
  author = {Nguyen, Thong and Wu, Xiaobao and Dong, Xinshuai and Nguyen, Cong-Duy and Ng, See-Kiong and Luu, Anh Tuan},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023},
  year = {2023},
  pages = {3635--3649},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.findings-emnlp.235},
  url = {https://aclanthology.org/2023.findings-emnlp.235/},
}

ACL

Zero-Shot Text Classification via Self-Supervised Tuning

Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, and 4 more authors

In Findings of the Association for Computational Linguistics: ACL 2023, 2023

DOI Bib HTML PDF

@inproceedings{liu2023zeroshottextclassificationviaselfsu,
  title = {{Zero-Shot Text Classification via Self-Supervised Tuning}},
  author = {Liu, Chaoqun and Zhang, Wenxuan and Chen, Guizhen and Wu, Xiaobao and Luu, Anh Tuan and Chang, Chip Hong and Bing, Lidong},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023},
  year = {2023},
  pages = {1743--1761},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.findings-acl.110},
  url = {https://aclanthology.org/2023.findings-acl.110/},
}

EACL

Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study

Brian Formento, Chuan Sheng Foo, Anh Tuan Luu, and 1 more author

In Findings of the Association for Computational Linguistics: EACL 2023, 2023

DOI Bib HTML PDF

@inproceedings{formento2023usingpunctuationasanadversarialatta,
  title = {{Using Punctuation as an Adversarial Attack on Deep Learning-Based {NLP} Systems: An Empirical Study}},
  author = {Formento, Brian and Foo, Chuan Sheng and Luu, Anh Tuan and Ng, See Kiong},
  booktitle = {Findings of the Association for Computational Linguistics: EACL 2023},
  year = {2023},
  pages = {1--34},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.findings-eacl.1},
  url = {https://aclanthology.org/2023.findings-eacl.1/},
}

CIKM

Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System

Zhiyuan Hu, Yue Feng, Anh Tuan Luu, and 2 more authors

In CIKM, 2023

DOI Bib HTML

@inproceedings{hu2023unlockingthepotentialofuserfeedback,
  title = {{Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System}},
  author = {Hu, Zhiyuan and Feng, Yue and Luu, Anh Tuan and Hooi, Bryan and Lipani, Aldo},
  booktitle = {CIKM},
  year = {2023},
  doi = {10.1145/3583780.3615220},
  url = {https://dl.acm.org/doi/abs/10.1145/3583780.3615220},
}

Preprint

Towards Interpretable Federated Learning

Anran Li, Rui Liu, Ming Hu, and 2 more authors

2023

Preprint, version 1 (2023); author list changed in version 2

arXiv Bib HTML PDF

@misc{li2023towardsinterpretablefederatedlearni,
  title = {{Towards Interpretable Federated Learning}},
  author = {Li, Anran and Liu, Rui and Hu, Ming and Luu, Anh Tuan and Yu, Han},
  journal = {arXiv preprint},
  year = {2023},
  url = {https://arxiv.org/abs/2302.13473v1},
  note = {Preprint, version 1 (2023); author list changed in version 2},
  howpublished = {arXiv preprint}
}

EMNLP

Rethinking Negative Pairs in Code Search

Haochen Li, Xin Zhou, Anh Tuan Luu, and 1 more author

In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DOI Bib HTML PDF

@inproceedings{li2023rethinkingnegativepairsincodesearch,
  title = {{Rethinking Negative Pairs in Code Search}},
  author = {Li, Haochen and Zhou, Xin and Luu, Anh Tuan and Miao, Chunyan},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},
  year = {2023},
  pages = {12760--12774},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.emnlp-main.786},
  url = {https://aclanthology.org/2023.emnlp-main.786/},
}

EMNLP

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models

Shuai Zhao, Jinming Wen, Anh Tuan Luu, and 2 more authors

In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DOI Bib HTML PDF

@inproceedings{zhao2023promptastriggersforbackdoorattackex,
  title = {{Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models}},
  author = {Zhao, Shuai and Wen, Jinming and Luu, Anh Tuan and Zhao, Junbo and Fu, Jie},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},
  year = {2023},
  pages = {12303--12317},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.emnlp-main.757},
  url = {https://aclanthology.org/2023.emnlp-main.757/},
}

ICASSP

Multi-Scale Receptive Field Graph Model for Emotion Recognition in Conversations

Jie Wei, Guanyu Hu, Anh Tuan Luu, and 2 more authors

In ICASSP, 2023

Bib HTML

@inproceedings{wei2023multiscalereceptivefieldgraphmodelf,
  title = {{Multi-Scale Receptive Field Graph Model for Emotion Recognition in Conversations}},
  author = {Wei, Jie and Hu, Guanyu and Luu, Anh Tuan and Yang, Xinyu and Zhu, Wenjing},
  booktitle = {ICASSP},
  year = {2023},
  url = {https://ieeexplore.ieee.org/abstract/document/10094596/},
}

Knowledge bases and language models: Complementing forces

Fabian Suchanek and Anh Tuan Luu

In International Joint Conference on Rules and Reasoning, 2023

DOI Bib HTML

@inproceedings{suchanek2023knowledgebasesandlanguagemodelscomp,
  title = {{Knowledge bases and language models: Complementing forces}},
  author = {Suchanek, Fabian and Luu, Anh Tuan},
  booktitle = {International Joint Conference on Rules and Reasoning},
  year = {2023},
  pages = {3-15},
  publisher = {Springer Nature Switzerland},
  doi = {10.1007/978-3-031-45072-3_1},
  url = {https://link.springer.com/chapter/10.1007/978-3-031-45072-3_1},
}

ACL

Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation

Yandan Zheng, Anran Hao, and Anh Tuan Luu

In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DOI Bib HTML PDF

@inproceedings{zheng2023jointpropjointsemisupervisedlearnin,
  title = {{Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation}},
  author = {Zheng, Yandan and Hao, Anran and Luu, Anh Tuan},
  booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2023},
  pages = {14541--14555},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.acl-long.813},
  url = {https://aclanthology.org/2023.acl-long.813/},
}

AAAI

InfoCTM: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling

Xiaobao Wu, Xinshuai Dong, Thong Nguyen, and 3 more authors

In AAAI, 2023

Bib HTML

@inproceedings{wu2023infoctmamutualinformationmaximizati,
  title = {{InfoCTM: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling}},
  author = {Wu, Xiaobao and Dong, Xinshuai and Nguyen, Thong and Liu, Chaoqun and Pan, Liangming and Luu, Anh Tuan},
  booktitle = {AAAI},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26612},
}

EMNLP

Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation

Cong-Duy Nguyen, Thong Nguyen, Duc Anh Vu, and 1 more author

In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DOI Bib HTML PDF

@inproceedings{nguyen2023improvingmultimodalsentimentanalysi,
  title = {{Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation}},
  author = {Nguyen, Cong-Duy and Nguyen, Thong and Vu, Duc Anh and Luu, Anh Tuan},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023},
  year = {2023},
  pages = {14714--14724},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.findings-emnlp.980},
  url = {https://aclanthology.org/2023.findings-emnlp.980/},
}

Preprint

Graph Transformers for Large Graphs

Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, and 3 more authors

2023

arXiv preprint

arXiv Bib HTML PDF

@misc{dwivedi2023graphtransformersforlargegraphs,
  title = {{Graph Transformers for Large Graphs}},
  author = {Dwivedi, Vijay Prakash and Liu, Yozen and Luu, Anh Tuan and Bresson, Xavier and Shah, Neil and Zhao, Tong},
  journal = {arXiv preprint},
  year = {2023},
  url = {https://arxiv.org/abs/2312.11109},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

ACL

Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, and 4 more authors

In Findings of the Association for Computational Linguistics: ACL 2023, 2023

DOI Bib HTML PDF

@inproceedings{nguyen2023gradientboosteddecisiontreeforlistw,
  title = {{Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction}},
  author = {Nguyen, Thong and Wu, Xiaobao and Dong, Xinshuai and Nguyen, Cong-Duy and Hai, Zhen and Bing, Lidong and Luu, Anh Tuan},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023},
  year = {2023},
  pages = {1670--1696},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.findings-acl.106},
  url = {https://aclanthology.org/2023.findings-acl.106/},
}

ACL

Fact-Checking Complex Claims with Program-Guided Reasoning

Liangming Pan, Xiaobao Wu, Xinyuan Lu, and 4 more authors

In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DOI Bib HTML PDF

@inproceedings{pan2023factcheckingcomplexclaimswithprogra,
  title = {{Fact-Checking Complex Claims with Program-Guided Reasoning}},
  author = {Pan, Liangming and Wu, Xiaobao and Lu, Xinyuan and Luu, Anh Tuan and Wang, William Yang and Kan, Min-Yen and Nakov, Preslav},
  booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2023},
  pages = {6981--7004},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.acl-long.386},
  url = {https://aclanthology.org/2023.acl-long.386/},
}

EMNLP

Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction

Leilei Gan, Baokui Li, Kun Kuang, and 5 more authors

In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DOI Bib HTML PDF

@inproceedings{gan2023exploitingcontrastivelearningandnum,
  title = {{Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction}},
  author = {Gan, Leilei and Li, Baokui and Kuang, Kun and Zhang, Yating and Wang, Lei and Luu, Anh Tuan and Yang, Yi and Wu, Fei},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023},
  year = {2023},
  pages = {12174--12185},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.findings-emnlp.814},
  url = {https://aclanthology.org/2023.findings-emnlp.814/},
}

ACM MM

Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment

Cong-Duy Nguyen, The-Anh Vu-Le, Thong Nguyen, and 2 more authors

In ACM MM, 2023

DOI Bib HTML

@inproceedings{nguyen2023expandbertrepresentationwithvisuali,
  title = {{Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment}},
  author = {Nguyen, Cong-Duy and Vu-Le, The-Anh and Nguyen, Thong and Quan, Tho and Luu, Anh Tuan},
  booktitle = {ACM MM},
  year = {2023},
  pages = {5665-5673},
  doi = {10.1145/3581783.3612248},
  url = {https://dl.acm.org/doi/abs/10.1145/3581783.3612248},
}

Preprint

Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals

Zhiyuan Hu, Yue Feng, Yang Deng, and 4 more authors

2023

arXiv preprint

arXiv Bib HTML PDF

@misc{hu2023enhancinglargelanguagemodelinducedt,
  title = {{Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals}},
  author = {Hu, Zhiyuan and Feng, Yue and Deng, Yang and Li, Zekun and Ng, See-Kiong and Luu, Anh Tuan and Hooi, Bryan},
  journal = {arXiv preprint},
  year = {2023},
  url = {https://arxiv.org/abs/2309.08949},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

ICML

Effective Neural Topic Modeling with Embedding Clustering Regularization

Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, and 1 more author

In ICML, 2023

Bib HTML

@inproceedings{wu2023effectiveneuraltopicmodelingwithemb,
  title = {{Effective Neural Topic Modeling with Embedding Clustering Regularization}},
  author = {Wu, Xiaobao and Dong, Xinshuai and Nguyen, Thong Thanh and Luu, Anh Tuan},
  booktitle = {ICML},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/wu23c.html},
}

Preprint

Contrastive Chain-of-Thought Prompting

Yew Ken Chia, Guizhen Chen, Anh Tuan Luu, and 2 more authors

2023

arXiv preprint

arXiv Bib HTML PDF

@misc{chia2023contrastivechainofthoughtprompting,
  title = {{Contrastive Chain-of-Thought Prompting}},
  author = {Chia, Yew Ken and Chen, Guizhen and Luu, Anh Tuan and Poria, Soujanya and Bing, Lidong},
  journal = {arXiv preprint},
  year = {2023},
  url = {https://arxiv.org/abs/2311.09277},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

JMLR

Benchmarking Graph Neural Networks

Vijay Prakash Dwivedi, Chaitanya K Joshi, Anh Tuan Luu, and 3 more authors

Journal of Machine Learning Research, 2023

Bib HTML

@article{dwivedi2023benchmarking,
  title = {{Benchmarking Graph Neural Networks}},
  author = {Dwivedi, Vijay Prakash and Joshi, Chaitanya K and Luu, Anh Tuan and Laurent, Thomas and Bengio, Yoshua and Bresson, Xavier},
  journal = {Journal of Machine Learning Research},
  year = {2023},
  volume = {24},
  number = {43},
  pages = {1--48},
  url = {http://www.jmlr.org/papers/v24/22-0567.html},
}

EMNLP

A Spectral Viewpoint on Continual Relation Extraction

Huy Nguyen, Chien Nguyen, Linh Ngo, and 2 more authors

In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DOI Bib HTML PDF

@inproceedings{nguyen2023aspectralviewpointoncontinualrelati,
  title = {{A Spectral Viewpoint on Continual Relation Extraction}},
  author = {Nguyen, Huy and Nguyen, Chien and Ngo, Linh and Luu, Anh Tuan and Nguyen, Thien},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023},
  year = {2023},
  pages = {9621--9629},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.findings-emnlp.645},
  url = {https://aclanthology.org/2023.findings-emnlp.645/},
}

EMNLP

A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer

Thang Le and Anh Tuan Luu

In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DOI Bib HTML PDF

@inproceedings{le2023aparallelcorpusforvietnamesecentral,
  title = {{A Parallel Corpus for {V}ietnamese Central-Northern Dialect Text Transfer}},
  author = {Le, Thang and Luu, Anh Tuan},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023},
  year = {2023},
  pages = {13839--13855},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2023.findings-emnlp.925},
  url = {https://aclanthology.org/2023.findings-emnlp.925/},
}

Cognitive Comp.

A Novel, Cognitively Inspired, Unified Graph-based Multi-Task Framework for Information Extraction

Yandan Zheng and Anh Tuan Luu

Cognitive Computation, 2023

DOI Bib HTML

@article{zheng2023anovelcognitivelyinspiredunifiedgra,
  title = {{A Novel, Cognitively Inspired, Unified Graph-based Multi-Task Framework for Information Extraction}},
  author = {Zheng, Yandan and Luu, Anh Tuan},
  journal = {Cognitive Computation},
  year = {2023},
  volume = {15},
  number = {6},
  pages = {2004-2013},
  publisher = {Springer US},
  doi = {10.1007/s12559-023-10163-2},
  url = {https://link.springer.com/article/10.1007/s12559-023-10163-2},
}

Neurocomputing

A Contrastive Learning Framework for Event Detection via Semantic Type Prototype Representation Modeling

Anran Hao, Anh Tuan Luu, Siu Cheung Hui, and 1 more author

Neurocomputing, 2023

Bib HTML

@article{hao2023acontrastivelearningframeworkforeve,
  title = {{A Contrastive Learning Framework for Event Detection via Semantic Type Prototype Representation Modeling}},
  author = {Hao, Anran and Luu, Anh Tuan and Hui, Siu Cheung and Su, Jian},
  journal = {Neurocomputing},
  year = {2023},
  volume = {556},
  pages = {126613},
  publisher = {Elsevier},
  url = {https://www.sciencedirect.com/science/article/pii/S0925231223007361},
}

AIR

A brief survey on recent advances in coreference resolution

Ruicheng Liu, Rui Mao, Anh Tuan Luu, and 1 more author

Artificial Intelligence Review, 2023

DOI Bib HTML

@article{liu2023abriefsurveyonrecentadvancesincoref,
  title = {{A brief survey on recent advances in coreference resolution}},
  author = {Liu, Ruicheng and Mao, Rui and Luu, Anh Tuan and Cambria, Erik},
  journal = {Artificial Intelligence Review},
  year = {2023},
  volume = {56},
  number = {12},
  pages = {14439-14481},
  publisher = {Springer Netherlands},
  doi = {10.1007/s10462-023-10506-3},
  url = {https://link.springer.com/article/10.1007/s10462-023-10506-3},
}

2022

EMNLP

Textual Manifold-based Defense Against Natural Language Adversarial Examples

Dang Nguyen Minh and Anh Tuan Luu

In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DOI Bib HTML PDF

@inproceedings{nguyenminh2022textualmanifoldbaseddefenseagainstn,
  title = {{Textual Manifold-based Defense Against Natural Language Adversarial Examples}},
  author = {Nguyen Minh, Dang and Luu, Anh Tuan},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing},
  year = {2022},
  pages = {6612--6625},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2022.emnlp-main.443},
  url = {https://aclanthology.org/2022.emnlp-main.443/},
}

NeurIPS

Recipe for a General, Powerful, Scalable Graph Transformer

Ladislav Rampášek, Mikhail Galkin, Vijay Prakash Dwivedi, and 3 more authors

In NeurIPS, 2022

Bib HTML

@inproceedings{rampek2022recipeforageneralpowerfulscalablegr,
  title = {{Recipe for a General, Powerful, Scalable Graph Transformer}},
  author = {Rampášek, Ladislav and Galkin, Mikhail and Dwivedi, Vijay Prakash and Luu, Anh Tuan and Wolf, Guy and Beaini, Dominique},
  booktitle = {NeurIPS},
  year = {2022},
  url = {https://proceedings.neurips.cc/paper_files/paper/2022/hash/5d4834a159f1547b267a05a4e2b7cf5e-Abstract-Conference.html},
}

EMNLP

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning

Xiaobao Wu, Anh Tuan Luu, and Xinshuai Dong

In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DOI Bib HTML PDF

@inproceedings{wu2022mitigatingdatasparsityforshorttextt,
  title = {{Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning}},
  author = {Wu, Xiaobao and Luu, Anh Tuan and Dong, Xinshuai},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing},
  year = {2022},
  pages = {2748--2760},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2022.emnlp-main.176},
  url = {https://aclanthology.org/2022.emnlp-main.176/},
}

NeurIPS

Long Range Graph Benchmark

Vijay Prakash Dwivedi, Ladislav Rampášek, Mikhail Galkin, and 4 more authors

In NeurIPS, 2022

Bib HTML

@inproceedings{dwivedi2022longrangegraphbenchmark,
  title = {{Long Range Graph Benchmark}},
  author = {Dwivedi, Vijay Prakash and Rampášek, Ladislav and Galkin, Mikhail and Parviz, Ali and Wolf, Guy and Luu, Anh Tuan and Beaini, Dominique},
  booktitle = {NeurIPS},
  year = {2022},
  url = {https://proceedings.neurips.cc/paper_files/paper/2022/hash/8c3c666820ea055a77726d66fc7d447f-Abstract-Datasets_and_Benchmarks.html},
}

AAAI

Is Discourse Role Important for Emotion Recognition in Conversation?

Donovan Ong, Jian Su, Bin Chen, and 6 more authors

In AAAI, 2022

Bib HTML

@inproceedings{ong2022isdiscourseroleimportantforemotionr,
  title = {{Is Discourse Role Important for Emotion Recognition in Conversation?}},
  author = {Ong, Donovan and Su, Jian and Chen, Bin and Luu, Anh Tuan and Narendranath, Ashok and Li, Yue and Sun, Shuqi and Lin, Yingzhan and Wang, Haifeng},
  booktitle = {AAAI},
  year = {2022},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/21361},
}

AAAI

Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation

Thong Thanh Nguyen and Anh Tuan Luu

In AAAI, 2022

Bib HTML

@inproceedings{nguyen2022improvingneuralcrosslingualabstract,
  title = {{Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation}},
  author = {Nguyen, Thong Thanh and Luu, Anh Tuan},
  booktitle = {AAAI},
  year = {2022},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/21359},
}

Preprint

How to train your draGAN: A task oriented solution to imbalanced classification

Leon O. Guertler, Andri Ashfahani, and Anh Tuan Luu

2022

arXiv preprint

arXiv Bib HTML PDF

@misc{guertler2022howtotrainyourdraganataskorientedso,
  title = {{How to train your draGAN: A task oriented solution to imbalanced classification}},
  author = {Guertler, Leon O. and Ashfahani, Andri and Luu, Anh Tuan},
  journal = {arXiv preprint},
  year = {2022},
  url = {https://arxiv.org/abs/2211.10065},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

ICLR

Graph Neural Networks with Learnable Structural and Positional Representations

Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, and 2 more authors

In ICLR, 2022

Bib HTML

@inproceedings{dwivedi2022graphneuralnetworkswithlearnablestr,
  title = {{Graph Neural Networks with Learnable Structural and Positional Representations}},
  author = {Dwivedi, Vijay Prakash and Luu, Anh Tuan and Laurent, Thomas and Bengio, Yoshua and Bresson, Xavier},
  booktitle = {ICLR},
  year = {2022},
  url = {https://arxiv.org/abs/2110.07875},
}

ICML

Certified Robustness Against Natural Language Attacks by Causal Intervention

Haiteng Zhao, Chang Ma, Xinshuai Dong, and 3 more authors

In ICML, 2022

Bib HTML

@inproceedings{zhao2022certifiedrobustnessagainstnaturalla,
  title = {{Certified Robustness Against Natural Language Attacks by Causal Intervention}},
  author = {Zhao, Haiteng and Ma, Chang and Dong, Xinshuai and Luu, Anh Tuan and Deng, Zhi-Hong and Zhang, Hanwang},
  booktitle = {ICML},
  year = {2022},
  url = {http://proceedings.mlr.press/v162/zhao22g.html},
}

Interspeech

Audio-Visual Domain Adaptation Feature Fusion for Speech Emotion Recognition

Jie Wei, Guanyu Hu, Xinyu Yang, and 2 more authors

In Interspeech, 2022

Bib HTML

@inproceedings{wei2022audiovisualdomainadaptationfeaturef,
  title = {{Audio-Visual Domain Adaptation Feature Fusion for Speech Emotion Recognition}},
  author = {Wei, Jie and Hu, Guanyu and Yang, Xinyu and Luu, Anh Tuan and Dong, Yizhuo},
  booktitle = {Interspeech},
  year = {2022},
  pages = {1988-1992},
  url = {https://www.isca-archive.org/interspeech_2022/wei22b_interspeech.pdf},
}

EMNLP

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction

Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, and 2 more authors

In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DOI Bib HTML PDF

@inproceedings{nguyen2022adaptivecontrastivelearningonmultim,
  title = {{Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction}},
  author = {Nguyen, Thong and Wu, Xiaobao and Luu, Anh Tuan and Hai, Zhen and Bing, Lidong},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing},
  year = {2022},
  pages = {10085--10096},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2022.emnlp-main.686},
  url = {https://aclanthology.org/2022.emnlp-main.686/},
}

2021

ICLR

Towards Robustness Against Natural Language Word Substitutions

Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, and 1 more author

In ICLR, 2021

Bib HTML

@inproceedings{dong2021towardsrobustnessagainstnaturallang,
  title = {{Towards Robustness Against Natural Language Word Substitutions}},
  author = {Dong, Xinshuai and Luu, Anh Tuan and Ji, Rongrong and Liu, Hong},
  booktitle = {ICLR},
  year = {2021},
  url = {https://arxiv.org/abs/2107.13541},
}

NeurIPS

How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?

Xinshuai Dong, Anh Tuan Luu, Min Lin, and 2 more authors

In NeurIPS, 2021

Bib HTML

@inproceedings{dong2021howshouldpretrainedlanguagemodelsbe,
  title = {{How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?}},
  author = {Dong, Xinshuai and Luu, Anh Tuan and Lin, Min and Yan, Shuicheng and Zhang, Hanwang},
  booktitle = {NeurIPS},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper_files/paper/2021/hash/22b1f2e0983160db6f7bb9f62f4dbb39-Abstract.html},
}

EMNLP

Enriching and Controlling Global Semantics for Text Summarization

Thong Nguyen, Anh Tuan Luu, Truc Lu, and 1 more author

In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

DOI Bib HTML PDF

@inproceedings{nguyen2021enrichingandcontrollingglobalsemant,
  title = {{Enriching and Controlling Global Semantics for Text Summarization}},
  author = {Nguyen, Thong and Luu, Anh Tuan and Lu, Truc and Quan, Tho},
  booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
  year = {2021},
  pages = {9443--9456},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2021.emnlp-main.744},
  url = {https://aclanthology.org/2021.emnlp-main.744/},
}

Cancer Discovery

Deep learning to estimate RECIST in patients with NSCLC treated with PD-1 blockade

Kathryn C Arbour, Anh Tuan Luu, Jia Luo, and 13 more authors

Cancer Discovery, 2021

DOI Bib HTML

@article{arbour2021deeplearningtoestimaterecistinpatie,
  title = {{Deep learning to estimate RECIST in patients with NSCLC treated with PD-1 blockade}},
  author = {Arbour, Kathryn C and Luu, Anh Tuan and Luo, Jia and Rizvi, Hira and Plodkowski, Andrew J and Sakhi, Mustafa and Huang, Kevin B and Digumarthy, Subba R and Ginsberg, Michelle S and Girshman, Jeffrey and Kris, Mark G and Riely, Gregory J and Yala, Adam and Gainor, Justin F and Barzilay, Regina and Hellmann, Matthew D},
  journal = {Cancer Discovery},
  year = {2021},
  volume = {11},
  number = {1},
  pages = {59--67},
  publisher = {American Association for Cancer Research},
  doi = {10.1158/2159-8290.CD-20-0419},
  url = {https://doi.org/10.1158/2159-8290.CD-20-0419},
}

NeurIPS

Contrastive Learning for Neural Topic Model

Thong Nguyen and Anh Tuan Luu

In NeurIPS, 2021

Bib HTML

@inproceedings{nguyen2021contrastivelearningforneuraltopicmo,
  title = {{Contrastive Learning for Neural Topic Model}},
  author = {Nguyen, Thong and Luu, Anh Tuan},
  booktitle = {NeurIPS},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper_files/paper/2021/hash/6467c327eaf8940b4dd07a08c63c5e85-Abstract.html},
}

ICLR

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters

Aston Zhang, Yi Tay, Shuai Zhang, and 4 more authors

In ICLR, 2021

Bib HTML

@inproceedings{zhang2021beyondfullyconnectedlayerswithquate,
  title = {{Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters}},
  author = {Zhang, Aston and Tay, Yi and Zhang, Shuai and Chan, Alvin and Luu, Anh Tuan and Hui, Siu Cheung and Fu, Jie},
  booktitle = {ICLR},
  year = {2021},
  url = {https://arxiv.org/abs/2102.08597},
}

2020

ACL

Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences

Yi Tay, Donovan Ong, Jie Fu, and 4 more authors

In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

DOI Bib HTML PDF

@inproceedings{tay2020wouldyouratheranewbenchmarkforlearn,
  title = {{Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences}},
  author = {Tay, Yi and Ong, Donovan and Fu, Jie and Chan, Alvin and Chen, Nancy and Luu, Anh Tuan and Pal, Chris},
  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
  year = {2020},
  pages = {5369--5373},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2020.acl-main.477},
  url = {https://aclanthology.org/2020.acl-main.477/},
}

TIP

Holistic Multi-modal Memory Network for Movie Question Answering

Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, and 3 more authors

IEEE Transactions on Image Processing, 2020

Bib HTML

@article{wang2020holisticmultimodalmemorynetworkform,
  title = {{Holistic Multi-modal Memory Network for Movie Question Answering}},
  author = {Wang, Anran and Luu, Anh Tuan and Foo, Chuan-Sheng and Zhu, Hongyuan and Tay, Yi and Chandrasekhar, Vijay},
  journal = {IEEE Transactions on Image Processing},
  year = {2020},
  volume = {29},
  pages = {489-499},
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/8786906/},
}

AAAI

Capturing Greater Context for Question Generation

Anh Tuan Luu, Darsh J Shah, and Regina Barzilay

In AAAI, 2020

Bib HTML

@inproceedings{luu2020capturinggreatercontextforquestiong,
  title = {{Capturing Greater Context for Question Generation}},
  author = {Luu, Anh Tuan and Shah, Darsh J and Barzilay, Regina},
  booktitle = {AAAI},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6440},
}

2019

ACL

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives

Yi Tay, Shuohang Wang, Anh Tuan Luu, and 6 more authors

In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019

DOI Bib HTML PDF

@inproceedings{tay2019simpleandeffectivecurriculumpointer,
  title = {{Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives}},
  author = {Tay, Yi and Wang, Shuohang and Luu, Anh Tuan and Fu, Jie and Phan, Minh C. and Yuan, Xingdi and Rao, Jinfeng and Hui, Siu Cheung and Zhang, Aston},
  booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  year = {2019},
  pages = {4922--4931},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/P19-1486},
  url = {https://aclanthology.org/P19-1486/},
}

ACL

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks

Yi Tay, Aston Zhang, Anh Tuan Luu, and 5 more authors

In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019

DOI Bib HTML PDF

@inproceedings{tay2019lightweightandefficientneuralnatura,
  title = {{Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks}},
  author = {Tay, Yi and Zhang, Aston and Luu, Anh Tuan and Rao, Jinfeng and Zhang, Shuai and Wang, Shuohang and Fu, Jie and Hui, Siu Cheung},
  booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  year = {2019},
  pages = {1494--1503},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/P19-1145},
  url = {https://aclanthology.org/P19-1145/},
}

AAAI

Holographic Factorization Machines for Recommendation

Yi Tay, Shuai Zhang, Anh Tuan Luu, and 3 more authors

In AAAI, 2019

Bib HTML

@inproceedings{tay2019holographicfactorizationmachinesfor,
  title = {{Holographic Factorization Machines for Recommendation}},
  author = {Tay, Yi and Zhang, Shuai and Luu, Anh Tuan and Hui, Siu Cheung and Yao, Lina and Vinh, Tran Dang Quang},
  booktitle = {AAAI},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4448},
}

NeurIPS

Compositional De-Attention Networks

Yi Tay, Anh Tuan Luu, Aston Zhang, and 2 more authors

In NeurIPS, 2019

Bib HTML

@inproceedings{tay2019compositionaldeattentionnetworks,
  title = {{Compositional De-Attention Networks}},
  author = {Tay, Yi and Luu, Anh Tuan and Zhang, Aston and Wang, Shuohang and Hui, Siu Cheung},
  booktitle = {NeurIPS},
  year = {2019},
  pages = {6132-6142},
  url = {https://proceedings.neurips.cc/paper_files/paper/8845-compositional-de-attention-networks},
}

2018

Syntactic based approach for grammar question retrieval

Lanting Fang, Anh Tuan Luu, Siu Cheung Hui, and 1 more author

Information Processing & Management, 2018

Bib HTML

@article{fang2018syntacticbasedapproachforgrammarque,
  title = {{Syntactic based approach for grammar question retrieval}},
  author = {Fang, Lanting and Luu, Anh Tuan and Hui, Siu Cheung and Wu, Lenan},
  journal = {Information Processing & Management},
  year = {2018},
  volume = {54},
  number = {2},
  pages = {184-202},
  publisher = {Pergamon},
  url = {https://www.sciencedirect.com/science/article/pii/S0306457317301310},
}

AAAI

SkipFlow: Incorporating Neural Coherence Features for End-to-end Automatic Text Scoring

Yi Tay, Minh C Phan, Anh Tuan Luu, and 1 more author

In AAAI, 2018

Bib HTML

@inproceedings{tay2018skipflowincorporatingneuralcoherenc,
  title = {{SkipFlow: Incorporating Neural Coherence Features for End-to-end Automatic Text Scoring}},
  author = {Tay, Yi and Phan, Minh C and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {AAAI},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12045},
}

NeurIPS

Recurrently Controlled Recurrent Networks

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In NeurIPS, 2018

Bib HTML

@inproceedings{tay2018recurrentlycontrolledrecurrentnetwo,
  title = {{Recurrently Controlled Recurrent Networks}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {NeurIPS},
  year = {2018},
  url = {https://proceedings.neurips.cc/paper_files/paper/2018/hash/16026d60ff9b54410b3435b403afd226-Abstract.html},
}

ACL

Reasoning with Sarcasm by Reading In-Between

Yi Tay, Anh Tuan Luu, Siu Cheung Hui, and 1 more author

In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018

DOI Bib HTML PDF

@inproceedings{tay2018reasoningwithsarcasmbyreadinginbetw,
  title = {{Reasoning with Sarcasm by Reading In-Between}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung and Su, Jian},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2018},
  pages = {1010--1020},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/P18-1093},
  url = {https://aclanthology.org/P18-1093/},
}

Expert Systems

Personalized question recommendation for English grammar learning

Lanting Fang, Anh Tuan Luu, Siu Cheung Hui, and 1 more author

Expert Systems, 2018

DOI Bib HTML

@article{fang2018personalizedquestionrecommendationf,
  title = {{Personalized question recommendation for English grammar learning}},
  author = {Fang, Lanting and Luu, Anh Tuan and Hui, Siu Cheung and Wu, Lenan},
  journal = {Expert Systems},
  year = {2018},
  volume = {35},
  number = {2},
  pages = {e12244},
  doi = {10.1111/exsy.12244},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/exsy.12244},
}

Preprint

Multi-range Reasoning for Machine Comprehension

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

2018

arXiv preprint

arXiv Bib HTML PDF

@misc{tay2018multirangereasoningformachinecompre,
  title = {{Multi-range Reasoning for Machine Comprehension}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  journal = {arXiv preprint},
  year = {2018},
  url = {https://arxiv.org/abs/1803.09074},
  note = {arXiv preprint},
  howpublished = {arXiv preprint}
}

KDD

Multi-Pointer Co-Attention Networks for Recommendation

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In KDD, 2018

DOI Bib HTML

@inproceedings{tay2018multipointercoattentionnetworksforr,
  title = {{Multi-Pointer Co-Attention Networks for Recommendation}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {KDD},
  year = {2018},
  doi = {10.1145/3219819.3220086},
  url = {https://dl.acm.org/doi/abs/10.1145/3219819.3220086},
}

EMNLP

Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

DOI Bib HTML PDF

@inproceedings{tay2018multigranularsequenceencodingviadil,
  title = {{Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
  year = {2018},
  pages = {2141--2151},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/D18-1238},
  url = {https://aclanthology.org/D18-1238/},
}

KDD

Multi-cast Attention Networks

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In KDD, 2018

DOI Bib HTML

@inproceedings{tay2018multicastattentionnetworks,
  title = {{Multi-cast Attention Networks}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {KDD},
  year = {2018},
  pages = {2299-2308},
  doi = {10.1145/3219819.3220048},
  url = {https://dl.acm.org/doi/abs/10.1145/3219819.3220048},
}

AAAI

Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In AAAI, 2018

Bib HTML

@inproceedings{tay2018learningtoattendviawordaspectassoci,
  title = {{Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {AAAI},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12049},
}

WWW

Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In WWW, 2018

DOI Bib HTML

@inproceedings{tay2018latentrelationalmetriclearningviame,
  title = {{Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {WWW},
  year = {2018},
  doi = {10.1145/3178876.3186154},
  url = {https://dl.acm.org/doi/abs/10.1145/3178876.3186154},
}

WSDM

Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In WSDM, 2018

DOI Bib HTML

@inproceedings{tay2018hyperbolicrepresentationlearningfor,
  title = {{Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {WSDM},
  year = {2018},
  pages = {583-591},
  publisher = {ACM},
  doi = {10.1145/3159652.3159664},
  url = {https://dl.acm.org/doi/abs/10.1145/3159652.3159664},
}

IJCAI

Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In IJCAI, 2018

Bib HTML

@inproceedings{tay2018hermitiancoattentionnetworksfortext,
  title = {{Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {IJCAI},
  year = {2018},
  volume = {18},
  number = {27},
  pages = {4425-31},
  url = {https://www.ijcai.org/Proceedings/2018/0615.pdf},
}

NeurIPS

Densely Connected Attention Propagation for Reading Comprehension

Yi Tay, Anh Tuan Luu, Siu Cheung Hui, and 1 more author

In NeurIPS, 2018

Bib HTML

@inproceedings{tay2018denselyconnectedattentionpropagatio,
  title = {{Densely Connected Attention Propagation for Reading Comprehension}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung and Su, Jian},
  booktitle = {NeurIPS},
  year = {2018},
  url = {https://proceedings.neurips.cc/paper_files/paper/2018/hash/7b66b4fd401a271a1c7224027ce111bc-Abstract.html},
}

AAAI

Cross Temporal Recurrent Networks for Ranking Question Answer Pairs

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In AAAI, 2018

Bib HTML

@inproceedings{tay2018crosstemporalrecurrentnetworksforra,
  title = {{Cross Temporal Recurrent Networks for Ranking Question Answer Pairs}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {AAAI},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11973},
}

ICWSM

CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In ICWSM, 2018

Bib HTML

@inproceedings{tay2018couplenetpayingattentiontocoupleswi,
  title = {{CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {ICWSM},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/ICWSM/article/view/15007},
}

EMNLP

Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

DOI Bib HTML PDF

@inproceedings{tay2018comparecompressandpropagateenhancin,
  title = {{Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
  year = {2018},
  pages = {1565--1575},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/D18-1185},
  url = {https://aclanthology.org/D18-1185/},
}

EMNLP

Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

DOI Bib HTML PDF

@inproceedings{tay2018costackresidualaffinitynetworkswith,
  title = {{Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
  year = {2018},
  pages = {4492--4502},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/D18-1479},
  url = {https://aclanthology.org/D18-1479/},
}

EMNLP

Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification

Yi Tay, Anh Tuan Luu, Siu Cheung Hui, and 1 more author

In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

DOI Bib HTML PDF

@inproceedings{tay2018attentivegatedlexiconreaderwithcont,
  title = {{Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung and Su, Jian},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
  year = {2018},
  pages = {3443--3453},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/D18-1381},
  url = {https://aclanthology.org/D18-1381/},
}

2017

CVPRW

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text

Zhe Wang, Kingsley Kuan, Mathieu Ravaut, and 13 more authors

In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

arXiv Bib HTML PDF

@inproceedings{wang2017trulymultimodalyoutube8mvideoclassi,
  title = {{Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text}},
  author = {Wang, Zhe and Kuan, Kingsley and Ravaut, Mathieu and Manek, Gaurav and Song, Sibo and Fang, Yuan and Kim, Seokhwan and Chen, Nancy and D'Haro, Luis Fernando and Luu, Anh Tuan and Zhu, Hongyuan and Zeng, Zeng and Cheung, Ngai Man and Piliouras, Georgios and Lin, Jie and Chandrasekhar, Vijay},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  year = {2017},
  url = {https://arxiv.org/abs/1706.05461},
}

WSDM

Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction

Yi Tay, Anh Tuan Luu, Siu Cheung Hui, and 1 more author

In WSDM, 2017

DOI Bib HTML

@inproceedings{tay2017randomsemantictensorensembleforscal,
  title = {{Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung and Brauer, Falk},
  booktitle = {WSDM},
  year = {2017},
  pages = {751-760},
  publisher = {ACM},
  doi = {10.1145/3018661.3018695},
  url = {https://dl.acm.org/doi/abs/10.1145/3018661.3018695},
}

AAAI

Non-parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In AAAI, 2017

Bib HTML

@inproceedings{tay2017nonparametricestimationofmultipleem,
  title = {{Non-parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {AAAI},
  year = {2017},
  pages = {751-760},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10685},
}

CIKM 2017

Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs

Yi Tay, Anh Tuan Luu, Minh C Phan, and 1 more author

In CIKM 2017, 2017

DOI Bib HTML

@inproceedings{tay2017multitaskneuralnetworkfornondiscret,
  title = {{Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs}},
  author = {Tay, Yi and Luu, Anh Tuan and Phan, Minh C and Hui, Siu Cheung},
  booktitle = {CIKM 2017},
  year = {2017},
  doi = {10.1145/3132847.3132937},
  url = {https://dl.acm.org/doi/abs/10.1145/3132847.3132937},
}

SIGIR

Learning to Rank Question Answer Pairs with Holographic Dual LSTM architecture

Yi Tay, Minh C Phan, Anh Tuan Luu, and 1 more author

In SIGIR, 2017

DOI Bib HTML

@inproceedings{tay2017learningtorankquestionanswerpairswi,
  title = {{Learning to Rank Question Answer Pairs with Holographic Dual LSTM architecture}},
  author = {Tay, Yi and Phan, Minh C and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {SIGIR},
  year = {2017},
  doi = {10.1145/3077136.3080790},
  url = {https://dl.acm.org/doi/abs/10.1145/3077136.3080790},
}

CIKM

Dyadic Memory Networks for Aspect-based Sentiment Analysis

Yi Tay, Anh Tuan Luu, and Siu Cheung Hui

In CIKM, 2017

DOI Bib HTML

@inproceedings{tay2017dyadicmemorynetworksforaspectbaseds,
  title = {{Dyadic Memory Networks for Aspect-based Sentiment Analysis}},
  author = {Tay, Yi and Luu, Anh Tuan and Hui, Siu Cheung},
  booktitle = {CIKM},
  year = {2017},
  doi = {10.1145/3132847.3132936},
  url = {https://dl.acm.org/doi/abs/10.1145/3132847.3132936},
}

NLDB

A syntactic parse-key tree-based approach for english grammar question retrieval

Lanting Fang, Anh Tuan Luu, Lenan Wu, and 1 more author

In International Conference on Applications of Natural Language to Information Systems, 2017

DOI Bib HTML

@inproceedings{fang2017asyntacticparsekeytreebasedapproach,
  title = {{A syntactic parse-key tree-based approach for english grammar question retrieval}},
  author = {Fang, Lanting and Luu, Anh Tuan and Wu, Lenan and Hui, Siu Cheung},
  booktitle = {International Conference on Applications of Natural Language to Information Systems},
  year = {2017},
  pages = {353-365},
  publisher = {Springer International Publishing},
  doi = {10.1007/978-3-319-59569-6_44},
  url = {https://link.springer.com/chapter/10.1007/978-3-319-59569-6_44},
}

2016

TACL

Utilizing Temporal Information for Taxonomy Construction

Anh Tuan Luu, Siu Cheung Hui, and See Kiong Ng

Transactions of the Association for Computational Linguistics, 2016

DOI Bib HTML PDF

@article{luu2016utilizingtemporalinformationfortaxo,
  title = {{Utilizing Temporal Information for Taxonomy Construction}},
  author = {Luu, Anh Tuan and Hui, Siu Cheung and Ng, See Kiong},
  journal = {Transactions of the Association for Computational Linguistics},
  year = {2016},
  volume = {4},
  pages = {551--564},
  publisher = {MIT Press},
  doi = {10.1162/tacl_a_00117},
  url = {https://aclanthology.org/Q16-1039/},
}

EMNLP

Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network

Anh Tuan Luu, Yi Tay, Siu Cheung Hui, and 1 more author

In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

DOI Bib HTML PDF

@inproceedings{luu2016learningtermembeddingsfortaxonomicr,
  title = {{Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network}},
  author = {Luu, Anh Tuan and Tay, Yi and Hui, Siu Cheung and Ng, See Kiong},
  booktitle = {Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing},
  year = {2016},
  pages = {403--413},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/D16-1039},
  url = {https://aclanthology.org/D16-1039/},
}

2015

EMNLP

Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction

Anh Tuan Luu, Jung-jae Kim, and See Kiong Ng

In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

DOI Bib HTML PDF

@inproceedings{luu2015incorporatingtrustinessandcollectiv,
  title = {{Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction}},
  author = {Luu, Anh Tuan and Kim, Jung-jae and Ng, See Kiong},
  booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
  year = {2015},
  pages = {1013--1022},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/D15-1117},
  url = {https://aclanthology.org/D15-1117/},
}

2014

EMNLP

Taxonomy Construction Using Syntactic Contextual Evidence

Anh Tuan Luu, Jung-jae Kim, and See Kiong Ng

In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014

DOI Bib HTML PDF

@inproceedings{luu2014taxonomyconstructionusingsyntacticc,
  title = {{Taxonomy Construction Using Syntactic Contextual Evidence}},
  author = {Luu, Anh Tuan and Kim, Jung-jae and Ng, See Kiong},
  booktitle = {Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing ({EMNLP})},
  year = {2014},
  pages = {810--819},
  publisher = {Association for Computational Linguistics},
  doi = {10.3115/v1/D14-1088},
  url = {https://aclanthology.org/D14-1088/},
}

Database Oxford

Overview of the Gene Ontology Task at BioCreative IV

Yuqing Mao, Kimberly Van Auken, Donghui Li, and 23 more authors

Database Oxford, 2014

DOI Bib HTML

@article{mao2014overviewofthegeneontologytaskatbioc,
  title = {{Overview of the Gene Ontology Task at BioCreative IV}},
  author = {Mao, Yuqing and Auken, Kimberly Van and Li, Donghui and Arighi, Cecilia N. and McQuilton, Peter and Hayman, G. Thomas and Tweedie, Susan and Schaeffer, Mary L. and Laulederkind, Stanley J. F. and Wang, Shur-Jen and Gobeill, Julien and Ruch, Patrick and Luu, Anh Tuan and Kim, Jung-jae and Chiang, Jung-Hsien and Chen, Yu-De and Yang, Chia-Jung and Liu, Hongfang and Zhu, Dongqing and Li, Yanpeng and Yu, Hong and Emadzadeh, Ehsan and Gonzalez, Graciela and Chen, Jian-Ming and Dai, Hong-Jie and Lu, Zhiyong},
  journal = {Database Oxford},
  year = {2014},
  publisher = {Oxford},
  doi = {10.1093/database/bau086/2634979},
  url = {https://academic.oup.com/database/article/doi/10.1093/database/bau086/2634979?ref=https://githubhelp.com},
}

2013

BioCreative

Gene ontology concept recognition using crossproducts and statistical methods

Anh Tuan Luu, Jung-jae Kim, and See-Kiong Ng

In Proceedings of the BioCreative IV Workshop, 2013

Bib HTML

@inproceedings{luu2013geneontologyconceptrecognitionusing,
  title = {{Gene ontology concept recognition using crossproducts and statistical methods}},
  author = {Luu, Anh Tuan and Kim, Jung-jae and Ng, See-Kiong},
  booktitle = {Proceedings of the BioCreative IV Workshop},
  year = {2013},
  pages = {174},
  url = {https://www.researchgate.net/profile/Yalbi-Balderas-Martinez/publication/282877424_Assisted_curation_of_growth_conditions_that_affect_gene_expression_in_E_coli_K--12/links/56211e7608aea35f2681b463/Assisted-curation-of-growth-conditions-that-affect-gene-expression-in-E-coli-K--12.pdf#page=183},
}

2012

FCS

SeVe: automatic tool for verification of security protocols

Anh Tuan Luu, Jun Sun, Yang Liu, and 3 more authors

Frontiers of Computer Science, 2012

DOI Bib HTML

@article{luu2012seveautomatictoolforverificationofs,
  title = {{SeVe: automatic tool for verification of security protocols}},
  author = {Luu, Anh Tuan and Sun, Jun and Liu, Yang and Dong, Jin Song and Li, Xiaohong and Quan, Thanh Tho},
  journal = {Frontiers of Computer Science},
  year = {2012},
  volume = {6},
  number = {1},
  pages = {57-75},
  publisher = {SP Higher Education Press},
  doi = {10.1007/s11704-012-2903-3},
  url = {https://link.springer.com/article/10.1007/s11704-012-2903-3},
}

BCB

Hybrid pattern matching for complex ontology term recognition

Jung-jae Kim and Anh Tuan Luu

In Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2012

DOI Bib HTML

@inproceedings{kim2012hybridpatternmatchingforcomplexonto,
  title = {{Hybrid pattern matching for complex ontology term recognition}},
  author = {Kim, Jung-jae and Luu, Anh Tuan},
  booktitle = {Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine},
  year = {2012},
  pages = {289-296},
  doi = {10.1145/2382936.2382973},
  url = {https://dl.acm.org/doi/abs/10.1145/2382936.2382973},
}

JCSE

Automatic Suggestion for PUBMED Query Reformulation

Anh Tuan Luu and Jung-jae Kim

Journal of Computing Science and Engineering, 2012

Bib HTML

@article{luu2012automaticsuggestionforpubmedqueryre,
  title = {{Automatic Suggestion for PUBMED Query Reformulation}},
  author = {Luu, Anh Tuan and Kim, Jung-jae},
  journal = {Journal of Computing Science and Engineering},
  year = {2012},
  volume = {6},
  number = {2},
  pages = {161-167},
  url = {https://oak.go.kr/central/journallist/journaldetail.do?article_seq=11640},
}

2010

SSIRI

Modeling and verifying security protocols using PAT approach

Anh Tuan Luu

In 2010 Fourth International Conference on Secure Software Integration and Reliability Improvement Companion, 2010

Bib HTML

@inproceedings{luu2010modelingandverifyingsecurityprotoco,
  title = {{Modeling and verifying security protocols using PAT approach}},
  author = {Luu, Anh Tuan},
  booktitle = {2010 Fourth International Conference on Secure Software Integration and Reliability Improvement Companion},
  year = {2010},
  pages = {157-164},
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/5521575/},
}

SSIRI

Modeling and verification of safety critical systems: A case study on pacemaker

Anh Tuan Luu, Man Chun Zheng, and Quan Thanh Tho

In 2010 Fourth International Conference on Secure Software Integration and Reliability Improvement, 2010

Bib HTML

@inproceedings{luu2010modelingandverificationofsafetycrit,
  title = {{Modeling and verification of safety critical systems: A case study on pacemaker}},
  author = {Luu, Anh Tuan and Zheng, Man Chun and Tho, Quan Thanh},
  booktitle = {2010 Fourth International Conference on Secure Software Integration and Reliability Improvement},
  year = {2010},
  pages = {23-32},
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/5502858/},
}

2007

URSW

Axiom-oriented Reasoning to Deal with Inconsistency Between Ontology and Knowledge Base

Anh Tuan Luu, Tho T Quan, Tru H Cao, and 1 more author

In Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web, 2007

Bib HTML

@inproceedings{luu2007axiomorientedreasoningtodealwithinc,
  title = {{Axiom-oriented Reasoning to Deal with Inconsistency Between Ontology and Knowledge Base}},
  author = {Luu, Anh Tuan and Quan, Tho T and Cao, Tru H and Dong, Jin-Song},
  booktitle = {Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web},
  year = {2007},
  url = {https://ceur-ws.org/Vol-327/pos_paper1.pdf},
}

Undated

Preprint

Multi-Sample Contrastive Neural Topic Model as Multi-Task Learning

Thong Thanh Nguyen, Cong-Duy T Nguyen, Anh Tuan Luu, and 1 more author

Undated

OpenReview manuscript

Bib HTML

@misc{nguyenundatedmultisamplecontrastiveneuraltopicmo,
  title = {{Multi-Sample Contrastive Neural Topic Model as Multi-Task Learning}},
  author = {Nguyen, Thong Thanh and Nguyen, Cong-Duy T and Luu, Anh Tuan and Ng, See-Kiong},
  journal = {OpenReview manuscript},
  year = {Undated},
  url = {https://openreview.net/forum?id=fFAV-_MCTd},
  note = {OpenReview manuscript},
  howpublished = {OpenReview manuscript}
}

Preprint

DEPTRAI: Detachable External‐memory layer for Parameter-Transformer Injection

Dong Le, Khoi M Le, and Anh Tuan Luu

Undated

OpenReview manuscript

Bib HTML

@misc{leundateddeptraidetachableexternalmemorylaye,
  title = {{DEPTRAI: Detachable External‐memory layer for Parameter-Transformer Injection}},
  author = {Le, Dong and Le, Khoi M and Luu, Anh Tuan},
  journal = {OpenReview manuscript},
  year = {Undated},
  url = {https://openreview.net/forum?id=mLL1AQeNsE},
  note = {OpenReview manuscript},
  howpublished = {OpenReview manuscript}
}

Preprint

Debiasing Language Models Using Energy-Guided Ordinary Differential Equations

Mingzhe Du, Anh Tuan Luu, Bin Ji, and 1 more author

Undated

OpenReview manuscript

Bib HTML

@misc{duundateddebiasinglanguagemodelsusingenergyg,
  title = {{Debiasing Language Models Using Energy-Guided Ordinary Differential Equations}},
  author = {Du, Mingzhe and Luu, Anh Tuan and Ji, Bin and Ng, See-Kiong},
  journal = {OpenReview manuscript},
  year = {Undated},
  url = {https://openreview.net/forum?id=kaFrlUcAn3},
  note = {OpenReview manuscript},
  howpublished = {OpenReview manuscript}
}