2026
ENTROPY-GUIDED DATA-EFFICIENT TRAINING FOR MULTIMODAL REASONING REWARD MODELS
ICASSP 2026poster
Multimodal reward models are crucial for aligning multimodal large language models with human preferences. Recent works have incorporated reasoning capabilities into these models, achieving promising results. However, training these models suffers from two critical challenges: (1) the inherent noise…