FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. - Linyi Yang; Lifan Yuan; Leyang Cui; Wenyang Gao; Yue Zhang 004 (COLING, 2022)

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. - Ganqu Cui; Lifan Yuan; Bingxiang He; Yangyi Chen; Zhiyuan Liu 001; Maosong Sun 001 (NeurIPS, 2022)

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. - Yangyi Chen; Hongcheng Gao; Ganqu Cui; Lifan Yuan; Dehan Kong; Hanlu Wu; Ning Shi; Bo Yuan; Longtao Huang; Hui Xue 001; Zhiyuan Liu 001; Maosong Sun 001; et al. (ACL (Findings), 2023)

A Close Look into the Calibration of Pre-trained Language Models. - Yangyi Chen; Lifan Yuan; Ganqu Cui; Zhiyuan Liu 001; Heng Ji 001 (ACL (1), 2023)

Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework. - Lifan Yuan; Yichi Zhang; Yangyi Chen; Wei Wei 002 (ACL (Findings), 2023)

Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT. - Biru Zhu; Lifan Yuan; Ganqu Cui; Yangyi Chen; Chong Fu; Bingxiang He; Yangdong Deng; Zhiyuan Liu 001; Maosong Sun 001; Ming Gu 001 (EMNLP, 2023)

Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations. - Lifan Yuan; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Fangyuan Zou; Xingyi Cheng; Heng Ji 001; Zhiyuan Liu 001; Maosong Sun 001 (NeurIPS, 2023)

Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations. - Lifan Yuan; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Fangyuan Zou; Xingyi Cheng; Heng Ji 001; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

UltraFeedback: Boosting Language Models with High-quality Feedback. - Ganqu Cui; Lifan Yuan; Ning Ding 002; Guanming Yao; Wei Zhu 016; Yuan Ni; Guotong Xie; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown. - Genglin Liu; Xingyao Wang 002; Lifan Yuan; Yangyi Chen; Hao Peng 009 (CoRR, 2023)

Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training. - Biru Zhu; Ganqu Cui; Yangyi Chen; Yujia Qin; Lifan Yuan; Chong Fu; Yangdong Deng; Zhiyuan Liu 001; Maosong Sun 001; Ming Gu 001 (Trans. Assoc. Comput. Linguistics, 2023)

Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis. - Lirong Wu; Lifan Yuan; Guojiang Zhao; Haitao Lin; Stan Z. Li (IEEE Trans. Neural Networks Learn. Syst., 2023)

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. - Yiju Guo; Ganqu Cui; Lifan Yuan; Ning Ding 002; Zexu Sun; Bowen Sun; Huimin Chen; Ruobing Xie; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2024)

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. - Xingyao Wang 002; Zihan Wang 010; Jiateng Liu; Yangyi Chen; Lifan Yuan; Hao Peng 009; Heng Ji 001 (ICLR, 2024)

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. - Lifan Yuan; Yangyi Chen; Xingyao Wang 002; Yi Fung 001; Hao Peng 009; Heng Ji 001 (ICLR, 2024)

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. - Ganqu Cui; Lifan Yuan; Ning Ding 002; Guanming Yao; Bingxiang He; Wei Zhu 016; Yuan Ni; Guotong Xie; Ruobing Xie; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ICML, 2024)

Executable Code Actions Elicit Better LLM Agents. - Xingyao Wang 002; Yangyi Chen; Lifan Yuan; Yizhe Zhang 002; Yunzhu Li; Hao Peng 009; Heng Ji 001 (ICML, 2024)

Noise Contrastive Alignment of Language Models with Explicit Rewards. - Huayu Chen; Guande He; Lifan Yuan; Ganqu Cui; Hang Su; Jun Zhu (NeurIPS, 2024)

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. - Yiju Guo; Ganqu Cui; Lifan Yuan; Ning Ding 002; Jiexin Wang; Huimin Chen; Bowen Sun; Ruobing Xie; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Jia Deng; Boji Shan; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; Bowen Zhou 002; et al. (CoRR, 2024)

Zero-Shot Generalization during Instruction Tuning: Insights from Similarity and Granularity. - Bingxiang He; Ning Ding 002; Cheng Qian 008; Jia Deng; Ganqu Cui; Lifan Yuan; Huan-ang Gao; Huimin Chen; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Free Process Rewards without Process Labels. - Lifan Yuan; Wendi Li; Huayu Chen; Ganqu Cui; Ning Ding 002; Kai Zhang 033; Bowen Zhou 002; Zhiyuan Liu 001; Hao Peng 001 (CoRR, 2024)

The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning. - Bingxiang He; Ning Ding 002; Cheng Qian 008; Jia Deng; Ganqu Cui; Lifan Yuan; Haiwen Hong; Huan-ang Gao; Longtao Huang; Hui Xue 001; Huimin Chen; Zhiyuan Liu 001; et al. (ACL (Findings), 2025)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Boji Shan; Zeyuan Liu; Jia Deng; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; et al. (ICLR, 2025)

Process Reinforcement through Implicit Rewards. - Ganqu Cui; Lifan Yuan; Zefan Wang; Hanbin Wang; Wendi Li; Bingxiang He; Yuchen Fan; Tianyu Yu 002; Qixin Xu; Weize Chen; Jiarui Yuan; Huayu Chen; et al. (CoRR, 2025)

Reinforcement Learning Finetunes Small Subnetworks in Large Language Models. - Sagnik Mukherjee; Lifan Yuan; Dilek Hakkani-Tur; Hao Peng 009 (CoRR, 2025)

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning. - Shivam Agarwal; Zimin Zhang; Lifan Yuan; Jiawei Han 001; Hao Peng 009 (CoRR, 2025)

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models. - Ganqu Cui; Yuchen Zhang; Jiacheng Chen; Lifan Yuan; Zhi Wang; Yuxin Zuo; Haozhan Li; Yuchen Fan; Huayu Chen; Weize Chen; Zhiyuan Liu 001; Hao Peng 001; et al. (CoRR, 2025)

RLPR: Extrapolating RLVR to General Domains without Verifiers. - Tianyu Yu 002; Bo Ji; Shouli Wang; Shu Yao; Zefan Wang; Ganqu Cui; Lifan Yuan; Ning Ding 002; Yuan Yao 013; Zhiyuan Liu 001; Maosong Sun 001; Tat-Seng Chua (CoRR, 2025)