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KindShowingImportancePrizesTopicLLM Multi-Agent Deliberation1 result

Claims about multiple large language model instances exchanging outputs or reasoning together to reach judgments, answers, or decisions, including consensus, conformity, and aggregation effects. Excludes single-model reasoning and panels that merely combine independent outputs without interaction.

In homogeneous LLM judge panels, deliberation outcomes track majority status rather than correctness.
UnassessedNo current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitution →empirical · derivedA factual claim that rests on inference from other evidence rather than direct observation.constitution →Large language modelsLLM-as-a-Judgeimportance · minorImportance 0.40, from 0 to 1 · minor: narrow or largely settled, cheap to get right. Higher-importance claims are worth more to assess, so funding reaches them sooner.constitution →

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