MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective. - Xiao Wang 001; Shihan Dou; Limao Xiong; Yicheng Zou; Qi Zhang 001; Tao Gui; Liang Qiao 001; Zhanzhan Cheng; Xuanjing Huang 001 (ACL (1), 2022)

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. - Limao Xiong; Jie Zhou 012; Qunxi Zhu; Xiao Wang 001; Yuanbin Wu; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Jin Ma 003; Ying Shan (ACL (Findings), 2023)

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. - Limao Xiong; Jie Zhou 015; Qunxi Zhu; Xiao Wang 001; Yuanbin Wu; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Jin Ma 003; Ying Shan (CoRR, 2023)

Secrets of RLHF in Large Language Models Part I: PPO. - Rui Zheng; Shihan Dou; Songyang Gao; Yuan Hua; Wei Shen; Binghai Wang; Yan Liu 002; Senjie Jin; Qin Liu 010; Yuhao Zhou; Limao Xiong; Lu Chen; et al. (CoRR, 2023)

The Rise and Potential of Large Language Model Based Agents: A Survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (CoRR, 2023)

StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. - Shihan Dou; Yan Liu 002; Haoxiang Jia; Enyu Zhou; Limao Xiong; Junjie Shan; Caishuang Huang; Xiao Wang 001; Xiaoran Fan; Zhiheng Xi; Yuhao Zhou; Tao Ji; et al. (ACL (1), 2024)

LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. - Shihan Dou; Enyu Zhou; Yan Liu 002; Songyang Gao; Wei Shen; Limao Xiong; Yuhao Zhou; Xiao Wang 001; Zhiheng Xi; Xiaoran Fan; Shiliang Pu; Jiang Zhu; et al. (ACL (1), 2024)

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback. - Shihan Dou; Yan Liu 002; Haoxiang Jia; Limao Xiong; Enyu Zhou; Wei Shen; Junjie Shan; Caishuang Huang; Xiao Wang 001; Xiaoran Fan; Zhiheng Xi; Yuhao Zhou; et al. (CoRR, 2024)

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models. - Weikang Zhou; Xiao Wang 001; Limao Xiong; Han Xia; Yingshuang Gu; Mingxu Chai; Fukang Zhu; Caishuang Huang; Shihan Dou; Zhiheng Xi; Rui Zheng; Songyang Gao; et al. (CoRR, 2024)

MetaRM: Shifted Distributions Alignment via Meta-Learning. - Shihan Dou; Yan Liu 002; Enyu Zhou; Tianlong Li; Haoxiang Jia; Limao Xiong; Xin Zhao; Junjie Ye; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 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)

Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning. - Shihan Dou; Yan Liu 002; Enyu Zhou; Songyang Gao; Tianlong Li; Limao Xiong; Xin Zhao; Haoxiang Jia; Junjie Ye; Rui Zheng; Tao Gui; Qi Zhang 001; et al. (AAAI, 2025)

RMB: Comprehensively benchmarking reward models in LLM alignment. - Enyu Zhou; Guodong Zheng; Binghai Wang; Zhiheng Xi; Shihan Dou; Rong Bao; Wei Shen; Limao Xiong; Jessica Fan; Yurong Mou; Rui Zheng; Tao Gui; et al. (ICLR, 2025)

The rise and potential of large language model based agents: a survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (Sci. China Inf. Sci., 2025)