Unverified50% confidenceDecision RuleExact time
Continuous evaluation should involve periodically backtesting agent performance using real task sets, rather than looking only at one-time accuracy rates.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
Related Entities
Related Claims
Unverified工程上可靠的循环检测应全程追踪Agent的决策运行轨迹，而非依赖单步判断78% similarUnverifiedA robust embodied AI evaluation benchmark should consider sample efficiency and generalization across randomized scenarios, not just task completion rate and spatial accuracy.77% similarUnverifiedHigh-quality specialized benchmarks typically require regular task updates, the introduction of dynamic evaluation mechanisms, and transparency in the construction process in order to maintain long-term validity.75% similarUnverifiedA more pragmatic approach for critical tasks is to establish small-scale benchmarks and regularly test model stability using fixed questions.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/966148API
curl https://kongchang.com/api/v1/knowledge/claims/966148MCP
get_claim(id=966148)