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One warning sentence helps AI agent groups with incorrect context

The warning recovers a maximum of 0.18 accuracy with voting.

In tests with 3 open-weight models, incorrect text removed 0.12 to 0.43 accuracy from one agent. Debate with 1 of 3 agents that read it gave the same result as a vote. A warning of one sentence recovered a maximum of 0.18 accuracy with voting, as the authors show.

Sources

  1. Misinformation Propagation in Benign Multi-Agent Systemsarxiv.org
AI MATTER · NEWS · AI MATTER · NEWS ·15 OCT2026

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