Unverified50% confidenceSolutionExact time
The results of a single-run agent evaluation are unreliable; multiple repeated runs are needed to estimate the true success rate distribution in order to distinguish random noise from real signals.
1
Sources
50%
Confidence
Long-term
Relevance
9/27/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen evaluating Agents, model versions and sampling parameters should be fixed, and multiple runs should report mean, quantiles, and confidence intervals—reporting a single score alone is not credible.74% similarUnverified标准基准测试衡量的是单次工具调用的格式正确性，而真实的生产级Agent失败往往发生在多步序列之中71% similarUnverifiedRegression testing for agents requires running both the new and old versions multiple times on the same test set and comparing the distribution of behaviors rather than comparing single-run results.70% similarUnverifiedAgent Reliability strictly distinguishes between the evaluator's own execution failures and Agent failures, and tracks measurement health and Agent reliability separately.70% similarUnverifiedDue to the non-deterministic nature of Agent output, testing requires designing evaluation metrics (such as accuracy, task completion rate, and latency) and verifying stability through batch test cases.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/953022API
curl https://kongchang.com/api/v1/knowledge/claims/953022MCP
get_claim(id=953022)