MuseCritic: Learning Multi-Aspect Song Rewards through Natural-Language Aesthetic Critiques
MuseCritic is introduced, a semi-scalar reward model that generates a natural-language critique covering five aesthetic dimensions and uses it as an intermediate representation to predict continuous reward scores, showing that critique-conditioned reward modeling reduces scoring error and provides an effective optimiza...
Jiabao Zhuang, Changhao Jiang, Hanchen Wang et al.
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