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

FlowMAS learns multi-agent workflow topologies via reward-guided GFlowNets with structure-aware exploration and information-guided evaluation to outperform baselines.

Haitao Wang, Chenjing Liang, Haipeng Zhang, Jiawei Hu and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 1/5