activity
20232026
most citedFoundation Models for Music: A Survey

8 citations · 10 across the 13 of their papers we have counts for

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11 papers · 1 filter

cs.SD2026

What Are You Listening to? Temporal Music Grounding for Audio-to-Text Large Language Models

Kun Fang, Ziyu Wang, Ichiro Fujinaga

Large audio-language models can produce fluent and musically plausible responses, yet it often remains unclear whether those responses are grounded in the audio input. We introduce…

cs.SD2026

Learning Music Style for Piano Arrangement Through Cross-Modal Bootstrapping

Jingwei Zhao, Gus Xia, Ziyu Wang +1

What is music style? Though often described using text labels such as "swing," "classical," or "emotional," the real style remains implicit and hidden in concrete music examples. I…

cs.SD2026

Music-JEPA: Learning a World Model of Sound from Action

Ziyu Wang, Kun Fang, Yann LeCun

Joint Embedding Predictive Architectures (JEPA) have recently emerged as a paradigm for learning world models by predicting latent representations, offering a promising direction f…

cs.SD2026

Real-Time Language Model Jamming: A Case Study for Live Music Accompaniment Generation

Bowen Zheng, Andrew H. Yang, Jiaqi Ruan +5

Language models (LMs) have become one of the most prominent paradigms in modern generative modeling. While making them faster has been the main focus of real-time deployment, speed…

cs.SD2026

BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps

Lekai Qian, Haoyu Gu, Jingwei Zhao +1

Tokenizing music to fit the general framework of language models is a compelling challenge, especially considering the diverse symbolic structures in which music can be represented…

cs.SD2026

ViTex: Visual Texture Control for Multi-Track Symbolic Music Generation via Discrete Diffusion Models

Xiaoyu Yi, Qi He, Gus Xia +1

In automatic music generation, a central challenge is to design controls that enable meaningful human-machine interaction. Existing systems often rely on extrinsic inputs such as t…