Reduce Human Labor On Evaluating Conversational Information Retrieval System: A Human-Machine Collaboration Approach. - Chen Huang 006; Peixin Qin; Wenqiang Lei; Jiancheng Lv 001 (EMNLP, 2023)

Towards Equipping Transformer with the Ability of Systematic Compositionality. - Chen Huang 006; Peixin Qin; Wenqiang Lei; Jiancheng Lv 001 (AAAI, 2024)

CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models. - Tong Zhang; Peixin Qin; Yang Deng 002; Chen Huang 006; Wenqiang Lei; Junhong Liu; Dingnan Jin; Hongru Liang; Tat-Seng Chua (ACL (1), 2024)

Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations. - Peixin Qin; Chen Huang 006; Yang Deng 002; Wenqiang Lei; Tat-Seng Chua (EMNLP (Findings), 2024)

Concept - An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors. - Chen Huang 006; Peixin Qin; Yang Deng 002; Wenqiang Lei; Jiancheng Lv 001; Tat-Seng Chua (CoRR, 2024)

SCOP: Evaluating the Comprehension Process of Large Language Models from a Cognitive View. - Yongjie Xiao; Hongru Liang; Peixin Qin; Yao Zhang; Wenqiang Lei (ACL (1), 2025)