2 papers
cs.CL2026
HumMusQA: A Human-written Music Understanding QA Benchmark Dataset
Benno Weck, Pablo Puentes, Andrea Poltronieri +2
The evaluation of music understanding in Large Audio-Language Models (LALMs) requires a rigorously defined benchmark that truly tests whether models can perceive and interpret musi…
cs.SD2025
OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction
Pablo Alonso-Jiménez, Pedro Ramoneda, R. Oguz Araz +2
Developing open-source foundation models is essential for advancing research in music audio understanding and ensuring access to powerful, multipurpose representations for music in…