AI RESEARCH
MOC: Multi-Order Communication in LLM-based Multi-Agent Systems
arXiv CS.AI
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ArXi:2606.02359v1 Announce Type: new Despite the remarkable progress of Large Language Model (LLM) based Multi-Agent Systems, most research focuses on optimizing coordination topology while largely underexploring the equally critical problem: how to transmit and optimize messages among agents effectively? Current communication schemes typically rely on the direct concatenation of first-order neighbor responses, which induces a restricted evidence receptive field and leads to the dilution of crucial insights over multi-hop paths.