Unverified50% confidenceFactExact time
自回归生成的误差累积效应源于模型只能沿单一路径前进，误差以乘积形式放大
1
Sources
50%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
FTPO：从训练层面根治AI重复循环的新方案
hackernewshackernews7/7/2026
Related Claims
Verified自回归模型在推理链早期产生错误中间结论会导致后续步骤累积错误，形成错误积累效应81% similarUnverified扩散模型的迭代去噪过程对数值误差敏感，每步的微小误差会累积并影响最终图像，采样步数越多量化误差影响越大78% similarUnverified在自回归预测中，每一步的误差会叠加到下一步，导致长程预测迅速退化77% similarUnverifiedAgent链式调用多步之后，每次LLM输出的细微差异导致误差逐步放大，最终结果偏离预期75% similarUnverified仅用成功轨迹训练的模型往往存在分布外泛化的严重缺陷，遇到工具返回错误时便丧失纠偏能力74% similar
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