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arXiv — cs.AI

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Understanding Communication Failures in Multi-Agent LLM Systems

arXiv:2610.32060v1 Announce Type: new Abstract: Multi-agent LLM systems aim to improve reasoning through debate, evidence sharing, and mutual correction, but interaction can also introduce failures that final accuracy alone cannot explain. Agents may converge too early, ignore…

arXiv — cs.AIBy: Priya Pitre, Jun Hou, Yi Fang, Naren Ramakrishnan, Xuan WangOctober 26, 2026 (12 hours ago)
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  • arXiv:2610.32060v1 Announce Type: new Abstract: Multi-agent LLM systems aim to improve reasoning through debate, evidence sharing, and mutual correction, but interaction can also introduce failures that final accuracy alone cannot explain
  • Agents may converge too early, ignore…
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Understanding Communication Failures in Multi-Agent LLM Systems

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