Unverified50% confidenceTradeoffExact time
Later checkpoints may have stronger similarity but can also overfit and respond poorly to prompts; earlier checkpoints are more flexible but may not have fully learned the identity features.
1
Sources
50%
Confidence
Long-term
Relevance
9/24/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedDifferences in test design, prompting methods, and model versions can lead to drastically different evaluation conclusions.76% similarUnverifiedA similarity threshold that is too high may cause valid answers to be incorrectly filtered out, while one that is too low may introduce noise, requiring a trade-off between recall and precision.75% similarUnverified在功能尚未完全成熟的阶段引入外部测评可能会放大潜在问题的曝光度75% similarUnverified相似度阈值过低会将意图相近但答案不同的查询误判为命中，阈值过高会降低命中率74% similarUnverifiedDenser relevance judgments reduce the probability that correct results retrieved by a model are mistakenly judged as irrelevant, thereby improving evaluation reliability.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/948328API
curl https://kongchang.com/api/v1/knowledge/claims/948328MCP
get_claim(id=948328)