Unverified50% confidenceFactExact time
研究表明,当任务需要超过 5-7 个相互依赖的推理步骤时,模型的错误率会显著上升
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50%
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Long-term
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7/21/2026
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Unverified研究表明即便是顶级模型,在工具调用链超过5步后幻觉率会显著上升,原因是早期错误随上下文传递被后续步骤合理化81% similarUnverified多步骤自动编排存在错误累积效应:每个中间步骤都有出错概率,步骤越多最终结果可靠性越难保证78% similarUnverified智能体面临误差级联问题:早期步骤判断误差会随迭代次数指数级放大76% similarUnverified让单个大模型独立完成超过数十步推理的长链路任务时,错误会随链路长度指数级累积,而拆解给多个专职智能体可显著降低错误率76% similarUnverified当模型同时优化任务准确性和置信度校准时,两个梯度方向可能相互干扰,涉及灾难性遗忘和目标冲突问题76% similar
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