CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

Researchers introduce CMI-RewardBench, a comprehensive evaluation framework for music generation AI models that can process multimodal inputs including text, lyrics, and audio. The system includes a 110k sample preference dataset and reward models that show strong correlation with human judgments for music quality assessment.