PersRM-R1: Enhance Personalized Reward Modeling with Reinforcement Learning

Mengdi Li, Guanqiao Chen, Xufeng Zhao +3

Reward models (RMs), which are central to existing post-training methods, aim to align LLM outputs with human values by providing feedback signals during fine-tuning. However, exis…