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Preprint Sep 2026

What Does Multi-Agent LLM Debate Actually Change? A Layered Analysis of Disagreement and Answer Quality

Multi-agent debate, in which several LLMs exchange arguments before producing an answer, is widely assumed to improve answer quality by surfacing genuine disagreement. That disagreement is hard to verify, and no single signal can settle it, so we organize the analysis around four questions: (A) does the debater say it...

Qian Chen · 0 citations
#artificial intelligence Preprint Sep 2026

A Layered Analysis of Disagreement And Answer Quality in Multi-Agent LLM Debate

Multi-agent debate, in which several LLMs exchange arguments before answering, is widely assumed to improve answer quality by surfacing genuine disagreement. That mechanism is rarely checked. We introduce four measurements: (A) the agreement a debater reports; (B) whether its reply text actually pushes back; (C) whethe...

Qian Chen · 0 citations

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