specific method · filed under post-training
Binary task verifier
Assigns a binary task reward using task-specific checks such as unit tests, assertion harnesses, or exact-answer matching.
- source
- 1
- model
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- lab adopt it
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- strongest
- core
How sources treat it
One count per evidence span, weakest treatment to strongest.
core 1
Documented in
Evidence
1 span quoted from the sources, strongest treatment first.
For SWE-style tasks this is the repository’s own unit-test suite run against the agent’s patch; for terminal tasks it is the task’s bash-side assertion harness; for tool-integrated math problems it is exact numeric-answer match against the gold solution.
corepost trainingin Laguna XS.2Poolside
Filed alongside
Other methods under post-training :: reward modelling.
Generative Reward ModelGroupwise Agentic GradingGroupwise Reward SynthesisAdversarial screeningLength-adjusted RL rewardVerifier cross-checkingAbstention-aware reward for factual QAAgentic Generative Reward ModelBehavior rubricsBinary terminal-verifier rewardCollaboration bonusDeterministic chain of checkersDirect RL optimization of a generative reward modelFive-dimension comparative grading of passing patchesHack-agent screeningHybrid reward systemLanguage consistency rewardMonitoring-only penalty strategyMulti-level reward formulationMultiplicative reward synthesisNegative checks for unintended side effectsOutcome Reward ModelPer-token tool-error reward shapingPrinciple-conditioned Generative Reward Model