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Music Preference Prediction on RewardBench (CMI-Pref)

78.2Pairwise AccuracyCMI-RM
65.51268.80672.175.394Jun 15, 2026

Evaluation results

MethodLinks
CMI-RMTrain Inputs=TLRA, Train Data=+110K pseudo, Encoder=MuQ-MuLan2026.0678.2
TuneJury, MuQ (T+A)Train Inputs=TA, Train Data=17K, Encoder=MuQ-MuLan2026.0676.8
TuneJury, -MA (T+A)Train Inputs=TA, Train Data=17K, Encoder=CLAP+MERT2026.0673.8
SongEval-RMTrain Inputs=A, Train Data=5-axis MOS, Encoder=MuQ-large2026.0672.4
TuneJury (A only)Train Inputs=TA, Train Data=17.5K, Encoder=CLAP+MERT, Inference Prompt=empty2026.0672.4
TuneJury, -MP (T+A)Train Inputs=TA, Train Data=15.5K, Encoder=CLAP+MERT2026.0671.8
Audiobox-AestheticsTrain Inputs=A, Train Data=4-axis MOS2026.0671.6
TuneJury (T+A)Train Inputs=TA, Train Data=17.5K, Encoder=CLAP+MERT2026.0671.4
TuneJury, -SE (T+A)Train Inputs=TA, Train Data=15K, Encoder=CLAP+MERT2026.0671.2
PAM scoreTrain Inputs=A, Mode=zero-shot, Encoder=MS-CLAP2026.0666.4
MuQ-Eval-A1Train Inputs=A, Train Data=2-axis MOS, Encoder=MuQ-large2026.0666