标题： CoComposer：LLM多智能体协作音乐创作 显示英文标题

标题： CoComposer: LLM Multi-agent Collaborative Music Composition

摘要： 现有的AI音乐创作工具在生成时长、音乐质量和可控性方面存在局限。 我们引入了CoComposer，这是一个由五个协作代理组成的多代理系统，每个代理的任务基于传统的音乐创作流程。 使用AudioBox-Aesthetics系统，我们在四个创作标准上对CoComposer进行了实验评估。 我们测试了三种LLM（GPT-4o、DeepSeek-V3-0324、Gemini-2.5-Flash），并发现 (1) CoComposer在音乐质量方面优于现有的基于LLM的多代理系统，(2) 与单代理系统相比，在生产复杂性方面表现更好。 与非LLM MusicLM相比，CoComposer具有更好的可解释性和可编辑性，尽管MusicLM仍然生成更好的音乐。 显示英文摘要

摘要： Existing AI Music composition tools are limited in generation duration, musical quality, and controllability. We introduce CoComposer, a multi-agent system that consists of five collaborating agents, each with a task based on the traditional music composition workflow. Using the AudioBox-Aesthetics system, we experimentally evaluate CoComposer on four compositional criteria. We test with three LLMs (GPT-4o, DeepSeek-V3-0324, Gemini-2.5-Flash), and find (1) that CoComposer outperforms existing multi-agent LLM-based systems in music quality, and (2) compared to a single-agent system, in production complexity. Compared to non- LLM MusicLM, CoComposer has better interpretability and editability, although MusicLM still produces better music.