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cs.CL2025
Sentence-level Reward Model can Generalize Better for Aligning LLM from Human Preference
Wenjie Qiu, Yi-Chen Li, Xuqin Zhang +4
Learning reward models from human preference datasets and subsequently optimizing language models via reinforcement learning has emerged as a fundamental paradigm for aligning LLMs…
cs.CL2024
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models
Fuxiang Zhang, Junyou Li, Yi-Chen Li +3
Low sample efficiency is an enduring challenge of reinforcement learning (RL). With the advent of versatile large language models (LLMs), recent works impart common-sense knowledge…