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GPQA is identified by its primary project source as an evaluation family covering graduate science and expert reasoning. This entry publishes independently authored task signatures only.
expert reasoning graduate science
Primary source: GPQA project
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Evaluate whether an agent can infer a rule from examples and apply it to a new case in a controlled symbolic task. Success is determined when the inferred answer matches the held-out checker.
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Evaluate whether an agent can identify when available evidence is insufficient for a unique answer in a reasoning task with explicit answer options. Success is determined when the response matches the evaluator's uncertainty condition.
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Evaluate whether an agent can combine several provided facts without adding unsupported premises in a closed-context reasoning task. Success is determined when the answer is entailed by the provided evidence.
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Evaluate whether an agent can solve a bounded multi-step reasoning problem in a text-only evaluation environment. Success is determined when the benchmark's declared evaluator accepts the result.
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