AI RESEARCH
Reinforced Collaboration in Multi-Agent Flow Networks
arXiv CS.LG
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ArXi:2605.12943v1 Announce Type: new Multi-agent systems provide a powerful way to extend large language models (LLMs) by decomposing a complex task into specialized subtasks handled by different agents. However, their performance is often hindered by error propagation, arising from suboptimal workflow design or inaccurate agent outputs, which can propagate through the agent collaboration process and degrade final results.