Author

Junghyun Koo

Sony AI / Sony Research

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#artificial intelligence May 2026

MusTBENCH: Benchmarking and Advancing Temporal Grounding in Music LLMs

MusTBench, a music-expert-validated benchmark designed to evaluate temporal grounding in LALMs through five temporally grounded question-answering tasks, is introduced, establishing temporal grounding as a key missing capability in current LALMs and position MusTBench as a challenging benchmark for future research in t...

Daeyong Kwon, Qiyu Wu, S. Kuriya et al. · arXiv.org · 3 citations

Preprint Aug 2026

Exploring the Design Space of Representation Learning for Audio Transformations

This framework produces both a transformation embedding and a processed-audio embedding, and it finds that the two play complementary roles: distance-based tasks favor the former, while probe-based tasks favor the latter.

Sungho Lee, Marco A. Martínez-Ramírez, Junghyun Koo et al. · 0 citations