Unverified50% confidenceFactExact time
Marginal fidelity metrics cannot capture joint distribution deviations among multiple variables, so the paper also uses the constraint satisfaction rate as a supplementary metric.
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10/9/2026
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UnverifiedRelying solely on aggregate metrics such as BLEU, ROUGE, or overall accuracy to evaluate context compression strategies is insufficient, because they measure average performance in typical cases rather than worst-case coverage guarantees.71% similarUnverifiedThe threshold of "marginal risk being equivalent to other risks" is extremely difficult to quantify, as there is currently neither a widely accepted metric nor a sufficiently neutral institution to adjudicate it.67% similarUnverifiedThe distribution of causally critical components across layers is largely uncorrelated with the layers that undergo the most drastic representational changes during fine-tuning.67% similarUnverifiedThis approximation error is independent of model capacity: even with a perfect marginal distribution predictor trained on infinite data, the product approximation will inevitably deviate from the joint distribution when writing to multiple positions with dependencies in parallel.66% similarUnverifiedRRF对各路检索的原始分数分布不敏感,相比简单的线性加权在混合检索场景中更加鲁棒66% similar
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