A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios - Xiachong Feng; Longxu Dou; Minzhi Li; Qinghao Wang; Yu Guo; Haochuan Wang; Chang Ma; Lingpeng Kong (Trans. Mach. Learn. Res., 2025)

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems - Zixuan Ke; Fangkai Jiao; Yifei Ming; Xuan-Phi Nguyen; Austin Xu; Do Xuan Long; Minzhi Li; Chengwei Qin; Peifeng Wang; Silvio Savarese; Caiming Xiong; Shafiq Joty (Trans. Mach. Learn. Res., 2025)

Distilling an End-to-End Voice Assistant Without Instruction Training Data - William Barr Held; Yanzhe Zhang; Weiyan Shi; Minzhi Li; Michael J. Ryan; Diyi Yang (Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025, 2025)

Mind the Gap: Static and Interactive Evaluations of Large Audio Models - Minzhi Li; William Barr Held; Michael J. Ryan; Kunat Pipatanakul; Potsawee Manakul; Hao Zhu; Diyi Yang (Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025, 2025)

DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation - Minzhi Li; Zhengyuan Liu; Shumin Deng; Shafiq Joty; Nancy F. Chen; Min-Yen Kan (Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, Abu Dhabi, UAE, January 19-24, 2025, 2025)

Mind the Gap! Static and Interactive Evaluations of Large Audio Models - Minzhi Li; William Barr Held; Michael J. Ryan; Kunat Pipatanakul; Potsawee Manakul; Hao Zhu; Diyi Yang (CoRR, 2025)

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems - Zixuan Ke; Fangkai Jiao; Yifei Ming; Xuan-Phi Nguyen; Austin Xu; Do Xuan Long; Minzhi Li; Chengwei Qin; Peifeng Wang; Silvio Savarese; Caiming Xiong; Shafiq Joty (CoRR, 2025)

Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future - Minzhi Li; Weiyan Shi; Caleb Ziems; Diyi Yang (Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, 2024)

Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future - Minzhi Li; Weiyan Shi; Caleb Ziems; Diyi Yang (CoRR, 2024)

Decompose and Aggregate: A Step-by-Step Interpretable Evaluation Framework - Minzhi Li; Zhengyuan Liu; Shumin Deng; Shafiq Joty; Nancy F. Chen; Min-Yen Kan (CoRR, 2024)

Towards Social AI: A Survey on Understanding Social Interactions - Sangmin Lee; Minzhi Li; Bolin Lai; Wenqi Jia; Fiona Ryan; Xu Cao; Ozgur Kara; Bikram Boote; Weiyan Shi; Diyi Yang; James M. Rehg (CoRR, 2024)

CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation - Minzhi Li; Taiwei Shi; Caleb Ziems; Min-Yen Kan; Nancy F. Chen; Zhengyuan Liu; Diyi Yang (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Retrieving Multimodal Information for Augmented Generation: A Survey - Ruochen Zhao; Hailin Chen; Weishi Wang; Fangkai Jiao; Do Xuan Long; Chengwei Qin; Bosheng Ding; Xiaobao Guo; Minzhi Li; Xingxuan Li; Shafiq Joty (Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Retrieving Multimodal Information for Augmented Generation: A Survey - Ruochen Zhao; Hailin Chen; Weishi Wang; Fangkai Jiao; Xuan Long Do; Chengwei Qin; Bosheng Ding; Xiaobao Guo; Minzhi Li; Xingxuan Li; Shafiq R. Joty (CoRR, 2023)

CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation - Minzhi Li; Taiwei Shi; Caleb Ziems; Min-Yen Kan; Nancy F. Chen; Zhengyuan Liu; Diyi Yang (CoRR, 2023)

Inducing Positive Perspectives with Text Reframing - Caleb Ziems; Minzhi Li; Anthony Zhang; Diyi Yang (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022, 2022)

MOOCs Based Blending Teaching Reform for Integrated College Computer Course - Yue Yu; Ying Fu; Yufeng Chen; Minzhi Li (Computer Science and Education - 17th International Conference, ICCSE 2022, Ningbo, China, August 18-21, 2022, Revised Selected Papers, Part I, 2022)

Inducing Positive Perspectives with Text Reframing - Caleb Ziems; Minzhi Li; Anthony Zhang; Diyi Yang (CoRR, 2022)