Ni-Er Wu

RewardExplainer: Learning Reward Model Explanations from Counterfactual Preference Feedback

Reward models (RMs) are a key component of large language model post-training, providing reward signals for subsequent reinforcement learning. However, conventional discriminative RMs typically output only scalar scores, making it difficult to identify the response behaviors associated with their scoring decisions. Exi...