specific method · filed under evaluation
LLM autograding with expert validation
An LLM autograder is used with its agreement validated against a trusted domain expert.
- source
- 1
- model
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- lab adopt it
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- 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.
We used the OpenAI o1-preview (pre-mitigation) model as an autograder, validating agreement with a trusted biosecurity expert.
usedevaluation onlyOpenAI
Filed alongside
Other methods under evaluation :: judge.
Agent-as-a-JudgeIndependent quality-inspection agentAgent-as-a-VerifierDecompositional instruction-following judgeDeterministic tool-call verifierGPT-5.5 (medium) judge modelHuman-calibrated LLM-as-a-JudgeLLM-as-a-JudgeLLM-based anti-cheating judgmentLLM-based correctness judgingLLM-based external API usage inspectionMandatory agentic judge protocolOfficial task verifier scoringReward-hack detection judgeRule-based anti-cheat checks