Unverified50% confidenceFactExact time
The consistency between the ranking of a single router and the ranking from actual expert utility evaluation is weak, especially in the middle and deep layers.
1
Sources
50%
Confidence
Long-term
Relevance
10/30/2026
First Seen
Sources
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Related Claims
UnverifiedTraditional mixed-precision quantization relies on expert importance ranking, implicitly assuming that assigned weights are linearly related to ranking positions, but ranking can only provide relative order and cannot calibrate the absolute strength of error weights.73% similarUnverifiedCoarse-grained error type classification relies more on semantic understanding, while fine-grained error span localization relies more on boundary judgment and position awareness, and the model's strengths and weaknesses on these two types of tasks are very likely not consistent.72% similarUnverifiedThe researchers transfer the population-level conclusions to finite corpora by controlling the gradient error so that it remains manageable relative to the shrinking progress directions along the scale of each parameter71% similarUnverifiedScoring outputs are more sensitive to numerical perturbations, and low-precision quantization easily causes shifts in score ranking, while ranking accuracy is the core metric for filtering and candidate ranking tasks.71% similar
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