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multi agent debate

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FreeResearch Paper
AI Models & Benchmarks

Silent Dissent: LLM Agents That Yield to the Majority Still Represent Their Original Premise

Authors
Ziang Ni, Peng Zou
Venue
arXiv preprint (not peer-reviewed)
Published
2026-10-02
ID
arXiv:2610.02702

Research paper by Ziang Ni and Peng Zou (arXiv, October 2026) on multi-agent debate. When scripted peers unanimously give a wrong answer, AI agents that switch answers often still hold their original reasoning step internally, which the authors detect inside four open-weight models. Not peer-reviewed.

#ai-agents#multi-agent-debate#interpretability#arxiv
arxiv.orgAdded Oct 7, 20260 opens