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Evolving Idea Graphs with Learnable Edits-and-Commits for Multi-Agent Scientific Ideation
LLM-empowered multi-agent systems offer new potential to accelerate scientific discovery by generating novel research ideas. However, existing methods typically coordinate agents through temporary texts, such as drafts or chat logs; it is difficult to pinpoint the weaknesses in the generated ideas a
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