Unverified50% confidenceSolutionExact time
The research proposes replacing real examples with length-matched random text and subtracting the purely length-induced drift from the total drift to obtain a metric called content delta.
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50%
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Long-term
Relevance
9/16/2026
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Unverified累积文本漂移本质上是一个随机游走问题，经过N步后的期望偏移量以√N速度增长，但因删除段落和插页引入有偏误差，实际漂移速度往往是线性甚至超线性70% similarUnverifiedFew-shot prompts are themselves much longer, and the mere difference in length is sufficient to shift the model's representations, meaning that previously measured drift confounded length noise unrelated to the content of the examples.69% similarUnverified当两个片段内容差异过大时光流算法可能产生扭曲或伪影，此时叠化等混合方式更可靠64% similarUnverifiedThe direction of embedding vectors for overly short texts tends to be unstable, making filtering them out the safer choice.61% similar
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