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Guo Zhancheng

2 accepted papers

2025

CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models

NAACL 2025findings

Challenges in managing linguistic diversity and integrating various musical modalities are faced by current music information retrieval systems. These limitations reduce their effectiveness in a global, multimodal music environment. To address these issues, we introduce CLaMP 2, a system compatible…

2025

CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages

ACL 2025finding

CLaMP 3 is a unified framework developed to address challenges of cross-modal and cross-lingual generalization in music information retrieval. Using contrastive learning, it aligns all major music modalities–including sheet music, performance signals, and audio recordings–with multilingual text in a…