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FlowMAS: Learning Multi-Agent Workflow Topology via Information-guided Generative Flow Network

Wang, Haitao et al.
arXiv (All) · Papers
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Automated multi-agent systems offer clear advantages over manually designed ones in scalability and adaptability, but existing workflow topology methods still face important limitations. Search-based methods are often computationally expensive, textual-gradient-based methods rely on coarse-grained f
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