Inducing Positive Perspectives with Text Reframing. - Caleb Ziems; Minzhi Li; Anthony Zhang; Diyi Yang (ACL (1), 2022)

MOOCs Based Blending Teaching Reform for Integrated College Computer Course. - Yue Yu; Ying Fu 001; Yufeng Chen; Minzhi Li (ICCSE (1), 2022)

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 (EMNLP, 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 (EMNLP (Findings), 2023)

Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future. - Minzhi Li; Weiyan Shi; Caleb Ziems; Diyi Yang (ACL (Findings), 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 001; Minzhi Li; Bolin Lai; Wenqi Jia 001; Fiona Ryan; Xu Cao; Ozgur Kara; Bikram Boote; Weiyan Shi; Diyi Yang; James M. Rehg (CoRR, 2024)

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 (ACL (1), 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 (ACL (1), 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 (COLING, 2025)

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)