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ComposerX: Multi-Agent Symbolic Music Composition with LLMs
April 30, 2024, 4:43 a.m. | Qixin Deng, Qikai Yang, Ruibin Yuan, Yipeng Huang, Yi Wang, Xubo Liu, Zeyue Tian, Jiahao Pan, Ge Zhang, Hanfeng Lin, Yizhi Li, Yinghao Ma, Jie Fu, Che
cs.LG updates on arXiv.org arxiv.org
Abstract: Music composition represents the creative side of humanity, and itself is a complex task that requires abilities to understand and generate information with long dependency and harmony constraints. While demonstrating impressive capabilities in STEM subjects, current LLMs easily fail in this task, generating ill-written music even when equipped with modern techniques like In-Context-Learning and Chain-of-Thoughts. To further explore and enhance LLMs' potential in music composition by leveraging their reasoning ability and the large knowledge base …
abstract agent arxiv capabilities constraints creative cs.ai cs.cl cs.lg cs.mm cs.sd current eess.as generate humanity information llms multi-agent music stem type while
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