specific method · filed under evaluation
Refusal behavior quantification
Separating refusal-based failures from other failure modes and reporting refusal rates.
Also called Quantified refusal behavior.
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How sources treat it
One count per evidence span, weakest treatment to strongest.
used 1
Documented in
Evidence
1 span quoted from the sources, strongest treatment first.
Explicitly separated refusal-based failures from other failure modes and reported pre- and post-naughtification rates.
usedevaluation onlyin gpt-oss-120b and gpt-oss-20bOpenAI
Filed alongside
Other methods under evaluation.
Prompt-based output standardizationEvaluation without safety filtersRefusal-suppressed variants for capability estimationavg@kAlmost@1Behavior testing with stubs and edge casesDeadline-bounded rollout evaluationDiverse benchmark validation for quantizationDocumenting evaluation configurationEnd-to-end exploit development evaluationEvaluation equivalence thresholdFixed MTP draft-token acceptance lengthFour-run mean pass@1Full trajectory releaseJoint validation protocolMean@5Model–harness co-designOfficial-release-source baseline restrictionPrompt engineering to elicit answersProtocolQA robustness validationRollout-based auditingSample test and length-constraint filteringSandboxed GPU kernel optimization evaluationSingle-agent and multi-agent evaluation configurations