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Oct 12 · Monday

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  1. RAIM:用廉价小模型聚合替代前沿模型做幻觉检测

    提出 RAIM,用交叉拟合堆叠聚合廉价评审检测幻觉

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    Evaluated models
    Llama, Qwen, Mistral and others10

    Abstract十个廉价评审的堆叠在可采纳区间接近 Sonnet,代价主要是一次域内校准。

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  2. Abstract单一种子可沿固定协作图固化为错误共识。

    作者把 LLM-MAS 中“小错变成集体错误共识”做成图上的可测传播,并用只改消息、不改拓扑的插件压低最终感染。

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