Unverified50% confidenceTradeoffExact time
The tool provides a robustness curve feature that measures changes in model accuracy against noise and rotation perturbations, and demonstrates the trade-off between coverage and accuracy through confidence threshold adjustment.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/26/2026
First Seen
Valid until: 12/25/2026
Sources
Related Entities
Related Claims
UnverifiedThe quality of tool descriptions directly affects the accuracy of model invocation.70% similarUnverifiedEleutherAI developed the lm-evaluation-harness standardized evaluation framework, attempting to reduce measurement noise by unifying testing procedures68% similarUnverifiedRepresentative tools for passive detection include GPTZero and Illuminarty, which make judgments by analyzing frequency-domain features, pixel noise distribution, or text perplexity.68% similarUnverifiedResponse latency in real-world use, recognition accuracy in noisy environments, and the stability of the interruption mechanism still await large-scale testing by real users.67% similarUnverifiedCalibration refers to the degree to which a model's expressed confidence matches the actual frequency of correctness, and is commonly quantified using reliability diagrams and Expected Calibration Error (ECE).67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/952813API
curl https://kongchang.com/api/v1/knowledge/claims/952813MCP
get_claim(id=952813)