Unverified50% confidenceSolutionExact time
Each sample in the test set needs a clear expected output or scoring criterion, which can be exact match, key information inclusion, or scoring by another LLM according to a rubric (LLM-as-judge).
1
Sources
50%
Confidence
Long-term
Relevance
10/23/2026
First Seen
Sources
LLM App Getting Worse With Every Change? Build an Effective Evaluation System in Three Steps
redditr/LangChain10/23/2026
Related Entities
Related Claims
Unverified在采信LLM裁判评分之前，必须用人工标注对其进行校准79% similarVerifiedMainstream approaches to agent evaluation include LLM-as-Judge, trajectory matching, and outcome verification.78% similarVerifiedEvaluation set construction can use the LLM-as-Judge method, employing another model to assess output quality in order to handle semantic-level quality judgments78% 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77% similarUnverifiedLLM judges need clear scoring dimensions (such as factual accuracy, completeness and safety), and should provide a few labeled examples and structured output (score and rationale) for human auditing.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1090131API
curl https://kongchang.com/api/v1/knowledge/claims/1090131MCP
get_claim(id=1090131)