Unverified50% confidenceFactExact time
In machine learning, "faithfulness" is a core metric for evaluating explanation methods, referring to whether the explanation truly reflects the causal basis on which the model produces its output.
1
Sources
50%
Confidence
Long-term
Relevance
11/3/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe verification and calibration components are critical for making a model's confidence levels trustworthy.74% similarUnverifiedA confidence score is the model's quantitative assessment of the reliability of its own answer, usually generated by the model or computed by an additional model; a low confidence score can trigger human review or a downgraded response to avoid error propagation.70% similarUnverifiedThe model's confidence is calibrated, trained via reinforcement learning with strict scoring rules, statistically aligning output probabilities with actual accuracy.68% similarUnverifiedBeing well calibrated means the confidence the model claims matches its actual accuracy.68% similarUnverifiedThe proof is essentially a computer-assisted proof for a specific instance, and comes with an explicit trust boundary for the implementation.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1132462API
curl https://kongchang.com/api/v1/knowledge/claims/1132462MCP
get_claim(id=1132462)