[KongchangAI]
Conceptgrader audit / 金丝雀审计

grader audit

A verification mechanism used in model evaluation that employs canary cases with known errors to test whether a grader incorrectly passes them, preventing the grader from silently failing after modification.

Timeline (last 90 days)

Oct 19

Before running comparisons, several known-bad outputs should be fed to the scorer and all required to be rejected, to audit whether the scorer passes everything because its rules have been loosened.

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Oct 19

Scorer audits need two-way checks: require that wrong outputs be rejected and also that tolerance cases (near_miss) be correctly passed; a scorer that rejects everything creates a false regression story.

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