Unverified50% confidenceFactExact time
Ignoring error correlation causes the combined variance to be underestimated, and the underestimation factor grows with group size; this factor accurately predicts the degree of coverage failure.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe impact of data quality on fine-tuning results is often far greater than that of hyperparameter tuning, and this is especially critical in scenarios with limited sample sizes.78% similarUnverifiedDenser relevance judgments reduce the probability that correct results retrieved by a model are mistakenly judged as irrelevant, thereby improving evaluation reliability.77% similarUnverifiedThe more independent requirements included in a single prompt, the more the probability of the model omitting or incorrectly implementing certain requirements grows non-linearly; the MVP strategy improves reliability by narrowing the model's decision space.77% similarUnverifiedPoll aggregation reduces the margin of error by increasing the total sample size through combining multiple samples, and the systematic biases of different organizations may cancel each other out in aggregation.76% similarVerified若用含测试集的全量数据计算均值和标准差,会导致预处理泄漏,使评估指标虚高,无法真实反映模型泛化能力76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1068325API
curl https://kongchang.com/api/v1/knowledge/claims/1068325MCP
get_claim(id=1068325)