Lifan Yuan

According to our database, Lifan Yuan authored at least 29 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RLPR: Extrapolating RLVR to General Domains without Verifiers.

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

CoRR, June, 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, Hao Peng, Lei Bai, Wanli Ouyang, Yu Cheng, Bowen Zhou, Ning Ding

CoRR, May, 2025

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning.

Shivam Agarwal, Zimin Zhang, Lifan Yuan, Jiawei Han, Hao Peng

CoRR, May, 2025

Reinforcement Learning Finetunes Small Subnetworks in Large Language Models.

Sagnik Mukherjee, Lifan Yuan, Dilek Hakkani-Tur, Hao Peng

CoRR, May, 2025

Process Reinforcement through Implicit Rewards.

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

CoRR, February, 2025

Advancing LLM Reasoning Generalists with Preference Trees.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Free Process Rewards without Process Labels.

Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kai Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng

CoRR, 2024

Zero-Shot Generalization during Instruction Tuning: Insights from Similarity and Granularity.

Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Huan-ang Gao, Huimin Chen, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Advancing LLM Reasoning Generalists with Preference Trees.

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

CoRR, 2024

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment.

Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Noise Contrastive Alignment of Language Models with Explicit Rewards.

Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Executable Code Actions Elicit Better LLM Agents.

Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback.

Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets.

Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback.

Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment.

Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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., November, 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, Maosong Sun, Ming Gu

Trans. Assoc. Comput. Linguistics, 2023

Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown.

Genglin Liu, Xingyao Wang, Lifan Yuan, Yangyi Chen, Hao Peng

CoRR, 2023

UltraFeedback: Boosting Language Models with High-quality Feedback.

Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Wei Zhu, Yuan Ni, Guotong Xie, Zhiyuan Liu, Maosong Sun

CoRR, 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, Zhiyuan Liu, Maosong Sun

CoRR, 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, Zhiyuan Liu, Maosong Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Maosong Sun, Ming Gu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework.

Lifan Yuan, Yichi Zhang, Yangyi Chen, Wei Wei

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Close Look into the Calibration of Pre-trained Language Models.

Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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, Zhiyuan Liu, Maosong Sun, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks.

Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the 29th International Conference on Computational Linguistics, 2022