implementation detail · filed under evaluation
Zero-shot base-model baseline fallback
Using the official zero-shot base-model baseline score when a run fails to produce a score.
- source
- 1
- model
- 1
- lab adopt it
- 1
- strongest
- used
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.
Runs that fail to produce a score fall back to the official zero-shot base-model baseline score.
usedunclearin GLM-5.3Z.ai
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 validationRefusal behavior quantificationRollout-based auditingSample test and length-constraint filteringSandboxed GPU kernel optimization evaluation