Lifan Yuan - RankMe

42 papers A* 11B 1Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs. CoRR Sagnik Mukherjee, Lifan Yuan, Pavan Jayasinha, Dilek Hakkani-Tür, Hao Peng
2025	A*	`conf`	Advancing LLM Reasoning Generalists with Preference Trees. ICLR Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun
2025	A*	`conf`	Free Process Rewards without Process Labels. ICML Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng
2025	J	`jnl`	From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones. CoRR Lifan Yuan, Weize Chen, Yuchen Zhang, Ganqu Cui, Hanbin Wang, Ziming You, Ning Ding, Zhiyuan Liu, Maosong Sun, Hao Peng
2025	J	`jnl`	Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark. CoRR Minhui Zhu, Minyang Tian, Xiaocheng Yang, Tianci Zhou, Penghao Zhu, Eli Chertkov, Shengyan Liu, Yufeng Du, Lifan Yuan, Ziming Ji, Indranil Das, Junyi Cao, Jinchen He, Yifan Su, Jiabin Yu, Yikun Jiang, Yujie Zhang, Chang Liu, Ze-Min Huang, Weizhen Jia, Xinan Chen, Peixue Wu, Yunkai Wang, Juntai Zhou, Yong Zhao, Farshid Jafarpour, Jessie Shelton, Aaron Young, John Bartolotta, Wenchao Xu, Yue Sun, Anjun Chu, Victor Colussi, Chris Akers, Nathan Brooks, Wenbo Fu, Christopher Wilson, Jinchao Zhao, Marvin Qi, Anqi Mu, Yubo Yang, Allen Zang, Yang Lyu, Peizhi Mai, Xuefei Guo, Luyu Gao, Ze Yang, Chi Xue, Dmytro Bandak, Yaïr Hein, Yonatan Kahn, S. Kevin Zhou, John Drew Wilson, Jarrod T. Reilly, Di Luo, Daniel Inafuku, Hao Tong, Liang Yang, Ruixing Zhang, Xueying Wang, Ofir Press, Nicolas Chia, Eliu A. Huerta, Hao Peng
2025	J	`jnl`	Process Reinforcement through Implicit Rewards. CoRR Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding
2025	J	`jnl`	RLPR: Extrapolating RLVR to General Domains without Verifiers. CoRR Tianyu Yu, Bo Ji, Shouli Wang, Shu Yao, Zefan Wang, Ganqu Cui, Lifan Yuan, Ning Ding, Yuan Yao, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua
2025	J	`jnl`	RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments. CoRR Zhiyuan Zeng, Hamish Ivison, Yiping Wang, Lifan Yuan, Shuyue Stella Li, Zhuorui Ye, Siting Li, Jacqueline He, Runlong Zhou, Tong Chen, Chenyang Zhao, Yulia Tsvetkov, Simon Shaolei Du, Natasha Jaques, Hao Peng, Pang Wei Koh, Hannaneh Hajishirzi
2025	J	`jnl`	Reinforcement Learning Finetunes Small Subnetworks in Large Language Models. CoRR Sagnik Mukherjee, Lifan Yuan, Dilek Hakkani-Tur, Hao Peng
2025	J	`jnl`	The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models. CoRR Ganqu Cui, Yuchen Zhang, Jiacheng Chen, Lifan Yuan, Zhi Wang, Yuxin Zuo, Haozhan Li, Yuchen Fan, Huayu Chen, Weize Chen, Zhiyuan Liu, Hao Peng, Lei Bai, Wanli Ouyang, Yu Cheng, Bowen Zhou, Ning Ding
2025	—	`conf`	The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning. ACL (Findings) Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Haiwen Hong, Huan-ang Gao, Longtao Huang, Hui Xue, Huimin Chen, Zhiyuan Liu, Maosong Sun
2025	J	`jnl`	The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning. CoRR Shivam Agarwal, Zimin Zhang, Lifan Yuan, Jiawei Han, Hao Peng
2024	J	`jnl`	Advancing LLM Reasoning Generalists with Preference Trees. CoRR Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun
2024	A*	`conf`	CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. ICLR Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji
2024	A*	`conf`	Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. EMNLP Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun
2024	J	`jnl`	Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. CoRR Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun
2024	A*	`conf`	Executable Code Actions Elicit Better LLM Agents. ICML Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji
2024	J	`jnl`	Executable Code Actions Elicit Better LLM Agents. CoRR Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji
2024	J	`jnl`	Free Process Rewards without Process Labels. CoRR Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kai Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng
2024	A*	`conf`	MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. ICLR Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji
2024	A*	`conf`	Noise Contrastive Alignment of Language Models with Explicit Rewards. NeurIPS Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu
2024	A*	`conf`	ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. ICML Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun
2024	J	`jnl`	Zero-Shot Generalization during Instruction Tuning: Insights from Similarity and Granularity. CoRR Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Huan-ang Gao, Huimin Chen, Zhiyuan Liu, Maosong Sun
2023	—	`conf`	A Close Look into the Calibration of Pre-trained Language Models. ACL (1) Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji
2023	A*	`conf`	Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT. EMNLP Biru Zhu, Lifan Yuan, Ganqu Cui, Yangyi Chen, Chong Fu, Bingxiang He, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu
2023	—	`conf`	Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework. ACL (Findings) Lifan Yuan, Yichi Zhang, Yangyi Chen, Wei Wei
2023	J	`jnl`	CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. CoRR Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi R. Fung, Hao Peng, Heng Ji
2023	J	`jnl`	Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis. IEEE Trans. Neural Networks Learn. Syst. Lirong Wu, Lifan Yuan, Guojiang Zhao, Haitao Lin, Stan Z. Li
2023	—	`conf`	From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. ACL (Findings) Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji
2023	J	`jnl`	From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. CoRR Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji
2023	J	`jnl`	MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. CoRR Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji
2023	J	`jnl`	Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown. CoRR Genglin Liu, Xingyao Wang, Lifan Yuan, Yangyi Chen, Hao Peng
2023	J	`jnl`	Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training. Trans. Assoc. Comput. Linguistics Biru Zhu, Ganqu Cui, Yangyi Chen, Yujia Qin, Lifan Yuan, Chong Fu, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu
2023	J	`jnl`	Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations. CoRR Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun
2023	A*	`conf`	Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations. NeurIPS Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun
2023	J	`jnl`	UltraFeedback: Boosting Language Models with High-quality Feedback. CoRR Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Wei Zhu, Yuan Ni, Guotong Xie, Zhiyuan Liu, Maosong Sun
2022	J	`jnl`	A Close Look into the Calibration of Pre-trained Language Models. CoRR Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji
2022	A*	`conf`	A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. NeurIPS Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun
2022	J	`jnl`	A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. CoRR Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun
2022	B	`conf`	FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. COLING Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang
2022	J	`jnl`	FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. CoRR Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang
2021	J	`jnl`	Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework. CoRR Lifan Yuan, Yichi Zhang, Yangyi Chen, Wei Wei