arXiv cs.CL
· Papers
MuseCritic: Learning Multi-Aspect Song Rewards through Natural-Language Aesthetic Critiques
arXiv:2608.11755v1 Announce Type: cross Abstract: 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 l