2026
MR-FLOWDPO: MULTI-REWARD DIRECT PREFERENCE OPTIMIZATION FOR FLOW-MATCHING TEXT-TO-MUSIC GENERATION
Alon Ziv, The Hebrew University of Jerusalem, Sanyuan Chen, Yossi Adi, The Hebrew University of Jerusalem, Wei-Ning Hsu
ICASSP 2026oral
A key challenge in music generation models is their lack of direct alignment with human preferences, as music evaluation is inherently subjective and varies widely across individuals. We introduce MR-FlowDPO, a novel approach that enhances flow-matching-based music generation models - a major class…