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Lin, Hilton and Evans: TruthfulQA misconception evaluation

Contribution grade

AI evaluation and agent infrastructure · Evaluation resource design

Reference score125,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Constructed questions designed to expose false answers learned from common human misconceptions and evaluated model answer truthfulness.

Scientific scope

Constructed questions designed to expose false answers learned from common human misconceptions and evaluated model answer truthfulness. This is a benchmark design, not a reliable general truth detector. The original scale-related observations do not imply every larger or later model is less truthful.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. This is a benchmark design, not a reliable general truth detector. The original scale-related observations do not imply every larger or later model is less truthful.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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