A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. - Junjie Ye; Xuanting Chen; Nuo Xu; Can Zu; Zekai Shao; Shichun Liu; Yuhan Cui; Zeyang Zhou; Chao Gong 003; Yang Shen; Jie Zhou 015; Siming Chen 001; et al. (CoRR, 2023)

LLMEval: A Preliminary Study on How to Evaluate Large Language Models. - Yue Zhang 004; Ming Zhang 030; Haipeng Yuan; Shichun Liu; Yongyao Shi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (AAAI, 2024)

TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities. - Ming Zhang 030; Caishuang Huang; Yilong Wu; Shichun Liu; Huiyuan Zheng; Yurui Dong; Yujiong Shen; Shihan Dou; Jun Zhao 019; Junjie Ye; Qi Zhang 001; Tao Gui; et al. (EMNLP, 2024)

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. - Zhiheng Xi; Wenxiang Chen; Boyang Hong; Senjie Jin; Rui Zheng; Wei He 024; Yiwen Ding; Shichun Liu; Xin Guo; Junzhe Wang; Honglin Guo; Wei Shen; et al. (ICML, 2024)

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models. - Wei He 024; Shichun Liu; Jun Zhao 019; Yiwen Ding; Yi Lu; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (NAACL-HLT (Findings), 2024)

Multi-Programming Language Sandbox for LLMs. - Shihan Dou; Jiazheng Zhang; Jianxiang Zang; Yunbo Tao; Haoxiang Jia; Shichun Liu; Yuming Yang; Shenxi Wu; Shaoqing Zhang; Muling Wu; Changze Lv; Limao Xiong; et al. (CoRR, 2024)

Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling. - Shihan Dou; Jiayi Chen; Chenhao Huang; Feng Chen 042; Wei Chengzhi; Huiyuan Zheng; Shichun Liu; Yan Liu 002; Chenxiao Liu; Chao Xin; Lin Yan; Zongzhang Zhang; et al. (ACL (1), 2025)

EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving. - Shihan Dou; Ming Zhang 030; Chenhao Huang; Jiayi Chen; Feng Chen 042; Shichun Liu; Yan Liu 002; Chenxiao Liu; Cheng Zhong; Zongzhang Zhang; Tao Gui; Chao Xin; et al. (CoRR, 2025)

LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation. - Ming Zhang 030; Yujiong Shen; Zelin Li; Huayu Sha; Binze Hu; Yuhui Wang; Chenhao Huang; Shichun Liu; Jingqi Tong; Changhao Jiang; Mingxu Chai; Zhiheng Xi; et al. (CoRR, 2025)

Pre-Trained Policy Discriminators are General Reward Models. - Shihan Dou; Shichun Liu; Yuming Yang; Yicheng Zou; Yunhua Zhou; Shuhao Xing; Chenhao Huang; Qiming Ge; Demin Song; Haijun Lv; Songyang Gao; Chengqi Lv; et al. (CoRR, 2025)

LLMEval-3: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models. - Ming Zhang 030; Yujiong Shen; Jingyi Deng; Yuhui Wang; Yue Zhang 004; Junzhe Wang; Shichun Liu; Shihan Dou; Huayu Sha; Qiyuan Peng; Changhao Jiang; Jingqi Tong; et al. (CoRR, 2025)

Intern-S1: A Scientific Multimodal Foundation Model. - Lei Bai 001; Zhongrui Cai; Yuhang Cao; Maosong Cao; Weihan Cao; Chiyu Chen; Haojiong Chen; Kai Chen; Pengcheng Chen; Ying Chen; Yongkang Chen; Yu Cheng; et al. (CoRR, 2025)