Unverified50% confidenceFactExact time
For categorical policies, as the output distribution becomes increasingly sharp, the expected score-gradient norm approaches zero, resulting in the weakest updates for tokens that are confident but incorrect.
1
Sources
50%
Confidence
Long-term
Relevance
9/25/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe core of evaluation is scoring, typically expressing the quality of results using a continuous value from 0 to 1.74% similarUnverified当所有商家评分集中在4.5-4.9的狭窄区间时，评分系统的信息熵急剧下降，用户从评分中获得的有效决策信息趋近于零73% similarUnverified推测解码中当草稿通过率低于50%时，实际加速效果会大打折扣甚至产生负优化73% similarUnverifiedInvoking an existing Skill consumes far fewer tokens than generating from scratch, and the success rate improves through repeated iteration.72% similarUnverifiedIn models trained in practice, the weight distribution is often non-uniform, with a large number of weights tending toward zero, forming natural sparsity.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/949035API
curl https://kongchang.com/api/v1/knowledge/claims/949035MCP
get_claim(id=949035)