specific method · filed under evaluation
PaperBench
A paper-replication evaluation using hierarchical rubrics that decompose each task into smaller subtasks with grading criteria.
- 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.
For objective evaluation, we develop rubrics that hierarchically decompose each replication task into smaller sub-tasks with clear grading criteria.
usedevaluation onlyin gpt-oss-120b and gpt-oss-20bOpenAI
Filed alongside
Other methods under evaluation :: benchmark.
High-confidence ProgramBench subsetArtificial Analysis Intelligence IndexBrowseComp with SearchCAD visual reproductionCapture-the-Flag (CTF) evaluationComputer use closed-loop evaluationDisabling tool searchDomain whitelistExecution-grounded evaluationF2P/P2F acceptance criterionFail-to-pass and pass-to-pass evaluation pointsGPU kernel optimization task suiteKernelBenchLiving in-house benchmark suiteLongBench v2Multiple-rollout evaluationPinchBenchProfBench with SearchScaleAI Multi Challenge Multi Turn Instruction FollowingSQuADSWE-bench VerifiedThree-configuration cyber range testingVals.aiVerified CUDA kernels