ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework

Kai Qin, Liangxin Liu, Yu Liang +7

Reward Models (RMs) are critical components in the Reinforcement Learning from Human Feedback (RLHF) pipeline, directly determining the alignment quality of Large Language Models (…