MuseCritic: Learning Multi-Aspect Song Rewards through Natural-Language Aesthetic Critiques
Long-form song generation models continue to improve in duration, structural integrity, and acoustic complexity, making reliable aesthetic rewards increasingly important for aligning these models with human preferences. However, reward models for complete songs remain limited, and existing evaluators typically predict...
Jiabao Zhuang, Changhao Jiang, Hanchen Wang et al.
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