Sharon Li

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Retrieved Context Shapes Internal Representations in RAG. CoRR Samuel Yeh, Sharon Li
2026	J	`jnl`	LAD: Learning Advantage Distribution for Reasoning. CoRR Wendi Li, Sharon Li
2026	J	`jnl`	Thinking Makes LLM Agents Introverted: How Mandatory Thinking Can Backfire in User-Engaged Agents. CoRR Jiatong Li, Changdae Oh, Hyeong Kyu Choi, Jindong Wang, Sharon Li
2026	J	`jnl`	Unlocking the Pre-Trained Model as a Dual-Alignment Calibrator for Post-Trained LLMs. CoRR Beier Luo, Cheng Wang, Hongxin Wei, Sharon Li, Xuefeng Du
2026	J	`jnl`	Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation. Trans. Mach. Learn. Res. Chao Ying, Jun Jin, Haotian Zhang, Qinglong Tian, Yanyuan Ma, Sharon Li, Jiwei Zhao
2025	J	`jnl`	General Exploratory Bonus for Optimistic Exploration in RLHF. CoRR Wendi Li, Changdae Oh, Sharon Li
2025	J	`jnl`	Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense. CoRR Leitian Tao, Ilia Kulikov, Swarnadeep Saha, Tianlu Wang, Jing Xu, Sharon Li, Jason E. Weston, Ping Yu
2025	J	`jnl`	Learning to Think Fast and Slow for Visual Language Models. CoRR Chenyu Lin, Cheng Chi, Jinlin Wu, Sharon Li, Kaiyang Zhou
2025	J	`jnl`	Simulating and Understanding Deceptive Behaviors in Long-Horizon Interactions. CoRR Yang Xu, Xuanming Zhang, Samuel Yeh, Jwala Dhamala, Ousmane Dia, Rahul Gupta, Sharon Li
2024	J	`jnl`	Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies. CoRR Mu-Huan Chung, Sharon Li, Jaturong Kongmanee, Lu Wang, Yuhong Yang, Calvin Giang, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell
2023	J	`jnl`	Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails. CoRR Mu-Huan Chung, Lu Wang, Sharon Li, Yuhong Yang, Calvin Giang, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell