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News/Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge
arxiv
PublishedSeptember 4, 2026 at 4:00 AM
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Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge

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arXiv:2602.09341v2 Announce Type: replace Abstract: Multi-agent systems (MAS) can substantially extend the reasoning capacity of large language models (LLMs). Most MAS frameworks aggregate agent outputs via simple majority voting, discarding the evidential structure of reasoning traces. Majority vot

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