SCDetector: Software Functional Clone Detection Based on Semantic Tokens Analysis. - Yueming Wu 001; Deqing Zou; Shihan Dou; Siru Yang; Wei Yang 013; Feng Cheng; Hong Liang; Hai Jin 001 (ASE, 2020)

Obfuscation-resilient Android Malware Analysis Based on Contrastive Learning. - Yueming Wu 001; Shihan Dou; Deqing Zou; Wei Yang 013; Weizhong Qiang; Hai Jin 001 (CoRR, 2021)

Boosting the Capability of Intelligent Vulnerability Detection by Training in a Human-Learning Manner. - Shihan Dou; Yueming Wu 001; Wenxuan Li; Feng Cheng; Wei Yang 013; Yang Liu 003 (CoRR, 2021)

IntDroid: Android Malware Detection Based on API Intimacy Analysis. - Deqing Zou; Yueming Wu 001; Siru Yang; Anki Chauhan; Wei Yang 013; Jiangying Zhong; Shihan Dou; Hai Jin 001 (ACM Trans. Softw. Eng. Methodol., 2021)

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)

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective. - Shihan Dou; Rui Zheng; Ting Wu; Songyang Gao; Junjie Shan; Qi Zhang 001; Yueming Wu 001; Xuanjing Huang 001 (COLING, 2022)

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding. - Songyang Gao; Shihan Dou; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2022)

VulCNN: An Image-inspired Scalable Vulnerability Detection System. - Yueming Wu 001; Deqing Zou; Shihan Dou; Wei Yang 013; Duo Xu; Hai Jin 001 (ICSE, 2022)

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective. - Shihan Dou; Rui Zheng; Ting Wu; Songyang Gao; Qi Zhang 001; Yueming Wu 001; Xuanjing Huang 001 (CoRR, 2022)

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization. - Songyang Gao; Shihan Dou; Yan Liu 002; Xiao Wang 001; Qi Zhang 001; Zhongyu Wei; Jin Ma 003; Ying Shan (ACL (1), 2023)

On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection. - Songyang Gao; Shihan Dou; Qi Zhang 001; Xuanjing Huang 001; Jin Ma 003; Ying Shan (ACL (Findings), 2023)

Detecting Adversarial Samples through Sharpness of Loss Landscape. - Rui Zheng; Shihan Dou; Yuhao Zhou; Qin Liu 010; Tao Gui; Qi Zhang 001; Zhongyu Wei; Xuanjing Huang 001; Menghan Zhang (ACL (Findings), 2023)

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. - Wei Shen; Rui Zheng; WenYu Zhan; Jun Zhao 019; Shihan Dou; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Gitor: Scalable Code Clone Detection by Building Global Sample Graph. - Junjie Shan; Shihan Dou; Yueming Wu 001; Hairu Wu; Yang Liu 003 (ESEC/SIGSOFT FSE, 2023)

CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing. - Songyang Gao; Shihan Dou; Junjie Shan; Qi Zhang 001; Xuanjing Huang 001 (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)

Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey. - Shihan Dou; Junjie Shan; Haoxiang Jia; Wenhao Deng 001; Zhiheng Xi; Wei He 024; Yueming Wu 001; Tao Gui; Yang Liu 003; Xuanjing Huang 001 (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)

LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment. - Shihan Dou; Enyu Zhou; Yan Liu 002; Songyang Gao; Jun Zhao 019; Wei Shen; Yuhao Zhou; Zhiheng Xi; Xiao Wang 001; Xiaoran Fan; Shiliang Pu; Jiang Zhu; 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)

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)

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning. - Rui Zheng; Wei Shen; Yuan Hua; Wenbin Lai; Shihan Dou; Yuhao Zhou; Zhiheng Xi; Xiao Wang; Haoran Huang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ICLR, 2024)

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback. - Songyang Gao; Qiming Ge; Wei Shen; Shihan Dou; Junjie Ye; Xiao Wang 001; Rui Zheng; Yicheng Zou; Zhi Chen 006; Hang Yan 001; Qi Zhang 001; Dahua Lin (ICML, 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)

CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing. - Shihan Dou; Songyang Gao; Tao Gui; Qi Zhang 001 (NLPCC (1), 2024)

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. - Junjie Ye; Guanyu Li; Songyang Gao; Caishuang Huang; Yilong Wu; Sixian Li; Xiaoran Fan; Shihan Dou; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (CoRR, 2024)

Secrets of RLHF in Large Language Models Part II: Reward Modeling. - Binghai Wang; Rui Zheng; Lu Chen; Yan Liu 002; Shihan Dou; Caishuang Huang; Wei Shen; Senjie Jin; Enyu Zhou; Chenyu Shi; Songyang Gao; Nuo Xu; et al. (CoRR, 2024)

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback. - Songyang Gao; Qiming Ge; Wei Shen; Shihan Dou; Junjie Ye; Xiao Wang 042; Rui Zheng; Yicheng Zou; Zhi Chen 006; Hang Yan 001; Qi Zhang 001; Dahua Lin (CoRR, 2024)

MouSi: Poly-Visual-Expert Vision-Language Models. - Xiaoran Fan; Tao Ji; Changhao Jiang; Shuo Li; Senjie Jin; Sirui Song; Junke Wang; Boyang Hong; Lu Chen; Guodong Zheng; Ming Zhang 030; Caishuang Huang; et al. (CoRR, 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)

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution. - Nuo Xu; Jun Zhao 019; Can Zu; Sixian Li; Lu Chen; Zhihao Zhang 002; Rui Zheng; Shihan Dou; Wenjuan Qin; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models. - Huijie Lv; Xiao Wang 001; Yuansen Zhang; Caishuang Huang; Shihan Dou; Junjie Ye; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (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)

Aligning Large Language Models from Self-Reference AI Feedback with one General Principle. - Rong Bao; Rui Zheng; Shihan Dou; Xiao Wang 014; Enyu Zhou; Bo Wang; Qi Zhang 001; Liang Ding 006; Dacheng Tao (CoRR, 2024)

SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance. - Caishuang Huang; Wanxu Zhao; Rui Zheng; Huijie Lv; Shihan Dou; Sixian Li; Xiao Wang 042; Enyu Zhou; Junjie Ye; Yuming Yang; Tao Gui; Qi Zhang 001; et al. (CoRR, 2024)

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. - Shihan Dou; Haoxiang Jia; Shenxi Wu; Huiyuan Zheng; Weikang Zhou; Muling Wu; Mingxu Chai; Jessica Fan; Caishuang Huang; Yunbo Tao; Yan Liu 002; Enyu Zhou; et al. (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)

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision. - Zhiheng Xi; Dingwen Yang; Jixuan Huang; Jiafu Tang; Guanyu Li; Yiwen Ding; Wei He 024; Boyang Hong; Shihan Dou; Wenyu Zhan; Xiao Wang 001; Rui Zheng; et al. (CoRR, 2024)

CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection. - Shihan Dou; Yueming Wu 001; Haoxiang Jia; Yuhao Zhou; Yan Liu 012; Yang Liu 003 (Proc. ACM Softw. Eng., 2024)

COCL: An Intelligent Framework for Enhancing Deep Learning-Based Vulnerability Detection. - Wenxuan Li; Shihan Dou; Yueming Wu 001; Chenxi Li; Yang Liu 003 (IEEE Trans. Ind. Informatics, 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)

DocFusion: A Unified Framework for Document Parsing Tasks. - Mingxu Chai; Ziyu Shen; Chong Zhang; Yue Zhang; Xiao Wang; Shihan Dou; Jihua Kang; Jiazheng Zhang; Qi Zhang (ACL (Findings), 2025)

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)

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. - Yuming Yang; Yang Nan; Junjie Ye; Shihan Dou; Xiao Wang; Shuo Li; Huijie Lv; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2025)

PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts. - Ming Zhang 030; Yuhui Wang; Yujiong Shen; Tingyi Yang; Changhao Jiang; Yilong Wu; Shihan Dou; Qinhao Chen; Zhiheng Xi; Zhihao Zhang 002; Yi Dong; Zhen Wang 020; et al. (ACL (Findings), 2025)

Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective. - Tianlong Li; Zhenghua Wang; Wenhao Liu; Muling Wu; Shihan Dou; Changze Lv; Xiaohua Wang; Xiaoqing Zheng; Xuanjing Huang 001 (COLING, 2025)

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. - Junjie Ye; Guanyu Li; Songyang Gao; Caishuang Huang; Yilong Wu; Sixian Li; Xiaoran Fan; Shihan Dou; Tao Ji; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (COLING, 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)

Predicting Large Language Model Capabilities on Closed-Book QA Tasks Using Only Information Available Prior to Training. - Changhao Jiang; Ming Zhang 030; Junjie Ye; Xiaoran Fan; Yifei Cao; Jiajun Sun; Zhiheng Xi; Shihan Dou; Yi Dong; Yujiong Shen; Jingqi Tong; Zhen Wang 020; et al. (CoRR, 2025)

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. - Yuming Yang; Yang Nan; Junjie Ye; Shihan Dou; Xiao Wang; Shuo Li; Huijie Lv; Mingqi Wu; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

Detecting Essence Code Clones via Information Theoretic Analysis. - Lida Zhao; Shihan Dou; Yutao Hu; Yueming Wu 004; Jiahui Wu; Chengwei Liu; Lyuye Zhang; Yi Liu 069; Jun Sun 001; Xuanjing Huang 001; Yang Liu 003 (CoRR, 2025)

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning. - Jiaze Chen; Tiantian Fan; Xin Liu; Lingjun Liu; Zhiqi Lin; Mingxuan Wang; Chengyi Wang; Xiangpeng Wei; Wenyuan Xu; Yufeng Yuan; Yu Yue; Lin Yan; et al. (CoRR, 2025)

Improving RL Exploration for LLM Reasoning through Retrospective Replay. - Shihan Dou; Muling Wu; Jingwen Xu; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment. - Jiazheng Zhang; Wenqing Jing; Zizhuo Zhang; Zhiheng Xi; Shihan Dou; Rongxiang Weng; Jiahuan Li; Jingang Wang; Mingxu Chai; Shibo Hong; Tao Gui; Qi Zhang 001 (CoRR, 2025)

Compression Hacking: A Supplementary Perspective on Informatics Metric of Language Models from Geometric Distortion. - Jianxiang Zang; Meiling Ning; Yongda Wei; Shihan Dou; Jiazheng Zhang; Nijia Mo; Binhong Li; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 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)

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning. - Muling Wu; Qi Qian; Wenhao Liu; Xiaohua Wang; Zisu Huang; Di Liang; LI Miao; Shihan Dou; Changze Lv; Zhenghua Wang; Zhibo Xu; Lina Chen; 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)

SpeechRole: A Large-Scale Dataset and Benchmark for Evaluating Speech Role-Playing Agents. - Changhao Jiang; Jiajun Sun; Yifei Cao; Jiabao Zhuang; Hui Li; Xiaoran Fan; Ming Zhang 030; Junjie Ye; Shihan Dou; Zhiheng Xi; Jingqi Tong; Yilong Wu; et al. (CoRR, 2025)

Mitigating Attention Hacking in Preference-Based Reward Modeling via Interaction Distillation. - Jianxiang Zang; Meiling Ning; Shihan Dou; Jiazheng Zhang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

VRPO: Rethinking Value Modeling for Robust RL Training under Noisy Supervision. - Dingwei Zhu; Shihan Dou; Zhiheng Xi; Senjie Jin; Guoqiang Zhang; Jiazheng Zhang; Junjie Ye; Mingxu Chai; Enyu Zhou; Ming Zhang 030; Caishuang Huang; Yunke Zhang; 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)