研究提出“先验证后投票”方法，纠正多智能体LLM的错误多数结论
来源标题：Verify, Then Vote: Overturning Wrong Majorities in Multi-Agent LLMs
一种名为“先验证后投票”的新方法能推翻多智能体LLM中错误形成的多数意见。该方法在投票前先对各智能体的推理进行验证，以识别并纠正集体误判，相关研究以论文形式发布。实验显示其可有效提升多智能体决策的准确性。
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Overturning Wrong Majorities in Multi-Agent LLMs · November 2026
When agents share a mistake, their majority can be wrong. This paper studies a rule that lets checked passage evidence overturn the vote, while recording which evidence licensed each change.
Verification improves accuracy on the evaluated benchmark, but the original scored rule misses its pre-specified harm criterion. The formal result identifies an inspectable failure condition; it does not guarantee a low error rate. The paper reports the gains, failures, and tradeoff against a stronger model judge together.
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