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MuseCritic: Learning Multi-Aspect Song Rewards through Natural-Language Aesthetic Critiques
Long-form song generation models continue to improve in duration, structural coherence, and acoustic complexity, increasing the need for reliable aesthetic rewards aligned with human preferences. However, reward models for complete songs remain limited, and existing evaluators typically predict scor
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