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Author

Lifan Yuan

Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework
2023 · Lifan Yuan, YiChi Zhang, et al. · 27
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Executable Code Actions Elicit Better LLM Agents
2024 · Wang, Xingyao, Chen, Yangyi, et al. · arXiv (Cornell University) · 23
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UltraFeedback: Boosting Language Models with Scaled AI Feedback
2023 · Cui, Ganqu, Yuan, Lifan, et al. · arXiv (Cornell University) · 23
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MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
2023 · Wang, Xingyao, Wang, Zihan, et al. · arXiv (Cornell University) · 18
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A Close Look into the Calibration of Pre-trained Language Models
2023 · Yangyi Chen, Lifan Yuan, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 18
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FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
2022 · Yang, Linyi, Yuan, Lifan, et al. · arXiv (Cornell University) · 13
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CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
2023 · Yuan, Lifan, Chen, Yangyi, et al. · arXiv (Cornell University) · 11
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Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
2023 · Yuan, Lifan, Chen, Yangyi, et al. · arXiv (Cornell University) · 8
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TTRL: Test-Time Reinforcement Learning
2025 · Yuxin Zuo, Kaiyan Zhang, et al. · neural information processing systems · 7
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Noise Contrastive Alignment of Language Models with Explicit Rewards
2024 · Huayu Chen, Guande He, et al. · neural information processing systems · 5
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From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
2023 · Yangyi Chen, Hongcheng Gao, et al. · 5
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Process Reinforcement through Implicit Rewards
2025 · Cui, Ganqu, Yuan, Lifan, et al. · arXiv (Cornell University) · 3
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The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
2025 · Cui, Ganqu, Zhang, Yuchen, et al. · arXiv (Cornell University) · 1
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Reinforcement Learning Finetunes Small Subnetworks in Large Language Models
2025 · Sagnik Mukherjee, Lifan Yuan, et al. · neural information processing systems · 1
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Free Process Rewards without Process Labels
2024 · Yuan, Lifan, Li, Wendi, et al. · arXiv (Cornell University) · 1
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RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
2025 · Zeng, Zhiyuan, Ivison, Hamish, et al. · arXiv (Cornell University)
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Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark
2025 · Zhu, Minhui, Tian, Minyang, et al. · arXiv (Cornell University)
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The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning
2025 · Bingxiang He, Ning Ding, et al.
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Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
2023 · Liu, Genglin, Wang, Xingyao, et al. · arXiv (Cornell University)
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From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
2023 · Chen, Yangyi, Gao, Hongcheng, et al. · arXiv (Cornell University)
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Works count: 24
Citation count: 163
H-index: 8
I10-index: 7
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