MusTBENCH: Benchmarking and Advancing Temporal Grounding in Music LLMs

research work·benchmark study·active

Research work examining evaluation benchmark, music/audio understanding.

Verified facts

Official site	https://arxiv.org/abs/2605.29300 ↗
Geography	Global
arxiv	2605.29300
venue	arXiv preprint
authors	Daeyong Kwon; Qiyu Wu; Shinobu Kuriya; Junghyun Koo; Shuyang Cui; Zhi Zhong; Wei-Hsiang Liao; Hiromi Wakaki; Yuki Mitsufuji
methods	benchmark evaluation; language modeling
code urls	unknown
demo urls	unknown
exact title	MusTBENCH: Benchmarking and Advancing Temporal Grounding in Music LLMs
project urls	unknown
original title	unknown
citation counts	unknown
research topics	evaluation benchmark; music/audio understanding
peer review status	not established from abstract metadata
disclosed conflicts	unknown
stated contribution	Presents or evaluates the system, method, benchmark, or analysis identified in the paper title.
us market scope basis	Included as a materially relevant public research artifact in the US-facing AI-music ecosystem; direct affiliation varies.
funding acknowledgements	unknown
affiliations at publication	unknown
publication or preprint date	2026-05-28
abstract level neutral summary	The work studies evaluation benchmark, music/audio understanding; methods and evaluation details are in the official abstract.
datasets benchmarks models tools used	unknown
correction withdrawal retraction status	No withdrawal marker observed in captured arXiv metadata.