Papers by Yuanliang Li
CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models (2025.findings-naacl)
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Shangda Wu, Yashan Wang, Ruibin Yuan, Guo Zhancheng, Xu Tan, Ge Zhang, Monan Zhou, Jing Chen, Xuefeng Mu, Yuejie Gao, Yuanliang Dong, Jiafeng Liu, Xiaobing Li, Feng Yu, Maosong Sun
| Challenge: | Current music information retrieval systems struggle to meet linguistic diversity challenges . current systems struggle with text queries in non-English languages . |
| Approach: | They propose a music information retrieval system that supports both ABC notation and MIDI . CLaMP 2 includes a multilingual text encoder and a multiple-modal music encoder . |
| Outcome: | The proposed system achieves state-of-the-art results in multilingual semantic search and music classification across modalities. |
Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory (2026.findings-eacl)
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| Challenge: | Large Language Models exhibit significant causal hallucination, but evaluation of their document-level ECI performance is lacking. |
| Approach: | They propose to use Large Language Models to evaluate their document-level ECI performance . they propose a framework to mitigate the causal bias associated with using LLMs . |
| Outcome: | The proposed framework significantly reduces the causal bias associated with using LLMs on ECI while also achieving superior performance. |