5.1 Music Understanding

To evaluate the music understanding capabilities of the
M2UGen model, we employ the MTG-eval-QA subset of
the MusicQA dataset proposed by Liu et al. (2023) [47]
as our evaluation set, consisting of 4,500 music question-
answer pairs. The SOTA models for comparison include
LTU [25], LLaMA-Adapter [18], SALMONN [60] and
MU-LLaMA [47]. Among these models, MU-LLaMA
stands out as the only one that was specifically trained on
music-related datasets. The evaluation metrics used for
music understanding follow the work of [47], containing
BLEU (B-U) [56], METEOR (M-R) [6], ROUGEL (R-L)
[44], and BERT-Score (BERT-S) [82].
M2UGen