Unverified50% confidenceSolutionExact time
The scoring API can rate the relevance/quality of retrieved candidate documents or candidate answers generated by a model, helping to select the optimal results to reduce hallucinations.
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA valuable comparison testing tool should ideally have a standardized task set, an automated scoring mechanism, and result visualization capabilities.72% similarUnverifiedA more reliable approach when evaluating large language models is to build a domain-specific evaluation set strongly relevant to one's own business and conduct blind comparative testing on a real input distribution.71% similarUnverifiedKnowledge base evaluation focuses on retrieval accuracy, recall, faithfulness (whether generated results are supported by reference materials), and the collaborative effect of each component.71% similarUnverified在采信LLM裁判评分前必须用人工标注对其进行校准，缓解偏差手段包括交换候选顺序取平均、使用CoT提示、多裁判集成70% similarUnverified选型建议：应在自己的真实任务上做对比测试，评估代码生成、长文本理解、指令遵循等维度，并综合考量API定价与调用限制，而非仅追逐单次榜单排名70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/971714API
curl https://kongchang.com/api/v1/knowledge/claims/971714MCP
get_claim(id=971714)