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cs.SD2026
When Noise Lowers The Loss: Rethinking Likelihood-Based Evaluation in Music Large Language Models
Xiaosha Li, Chun Liu, Ziyu Wang
The rise of music large language models (LLMs) demands robust methods of evaluating output quality, especially in distinguishing high-quality compositions from "garbage music". Cur…
cs.SD2024★ 1 cited
Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation
Tingyu Zhu, Haoyu Liu, Ziyu Wang +2
Developing generative models to create or conditionally create symbolic music presents unique challenges due to the combination of limited data availability and the need for high p…