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arXiv — cs.AI preprintsInternational15 October 2026

Beyond Perfect Teammates: Multi-Agent Collaboration with Unreliable Colleagues

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arXiv:2610.16117v2 Announce Type: new Abstract: LLM-based multi-agent collaboration is increasingly used to solve complex tasks by dividing work among specialized agents and integrating complementary expertise. Yet existing systems and evaluations largely rest on an implicit perfect-colleague assumption: collaborators provide correct and complete information and respond promptly to requests. In realistic teamwork, however, collaborators may return information that does not answer the intended question, provide insufficient detail to support a decision, or fail to respond to a request. To separ
— arXiv — cs.AI preprints

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