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Music Preference Prediction on CMI-RewardBench (Music Arena)

73.88Pairwise AccuracySongEval-RM
66.818468.651770.48572.3183Jun 15, 2026

Evaluation results

MethodLinks
SongEval-RMTrain Inputs=A, Train Data=5-axis MOS, Encoder=MuQ-large2026.0673.88
CMI-RMTrain Inputs=TLRA, Train Data=+110K pseudo, Encoder=MuQ-MuLan2026.0673.43
TuneJury (T+A)Train Inputs=TA, Train Data=17.5K, Encoder=CLAP+MERT2026.0671.94
TuneJury, -SE (T+A)Train Inputs=TA, Train Data=15K, Encoder=CLAP+MERT2026.0671.49
TuneJury (A only)Train Inputs=TA, Train Data=17.5K, Encoder=CLAP+MERT, Inference Prompt=empty2026.0670.07
TuneJury, MuQ (T+A)Train Inputs=TA, Train Data=17K, Encoder=MuQ-MuLan2026.0670.04
TuneJury, -MP (T+A)Train Inputs=TA, Train Data=15.5K, Encoder=CLAP+MERT2026.0670
TuneJury, -MA (T+A)Train Inputs=TA, Train Data=17K, Encoder=CLAP+MERT2026.0669.1
MuQ-Eval-A1Train Inputs=A, Train Data=2-axis MOS, Encoder=MuQ-large2026.0667.61
Audiobox-AestheticsTrain Inputs=A, Train Data=4-axis MOS2026.0667.39
PAM scoreTrain Inputs=A, Mode=zero-shot, Encoder=MS-CLAP2026.0667.09