Expired50% confidenceBenchmarkExact time
ProactiveFrame improves by 5.4 and 1.5 percentage points respectively compared with sparse uniform sampling.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/13/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/27/2026(expired)
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UnverifiedThe token conversion rate for advanced models is often 5 to 20 times higher than that of base models68% similarUnverifiedAblation analysis shows that fine-tuning on the segment paradigm yields a +5.29-point improvement on the test set, while replacing the first 4,500 transcript words with 2,000 retrieved words yields only a +1.55-point improvement.68% similarUnverifiedWhen budget and timeline calculations were delegated to an external reliable process rather than inferred by the model itself, accuracy improved by as much as 42 percentage points on weaker models and only 2 to 5 percentage points on stronger models.64% similarUnverifiedFrom Large 3 to Large 4, total parameters grew by 56% while active parameters grew by only 20%.64% similarUnverifiedThe interaction effect between prompt breadth and response refresh reached 4.07 percentage points, with a 95% confidence interval of [2.00, 6.28].63% similar
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