[KongchangAI]
Unverified50% confidenceBenchmarkExact time

The paper evaluates FADE on five reasoning benchmarks, two base models, and four scheduling paradigms, with all experiments conducted under matched generation budgets, and FADE consistently improves downstream accuracy and calibration.

1
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50%
Confidence
Medium-term (~90 days)
Relevance
11/3/2026
First Seen
Valid until: 2/1/2027

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