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ReviewFact

ReviewFact: Factual Errors in Peer-Review Comments ReviewFact is the benchmark of the paper PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews.

How to run

ltb · reviewfact
$ npm i -g lettokenburn-cli
$ ltb bench info reviewfact

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

4 sourced entries
HarnessSourceConfidenceLink
GPT-5.563.2N/AIndependentmediumOct 15, 2026arxiv.org
Jev63.0premisecheckIndependentmediumOct 15, 2026arxiv.org
Kev-27B63.0premisecheckIndependentmediumOct 15, 2026arxiv.org
GPT-5.4-mini62.4premisecheckIndependentmediumOct 15, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

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About

ReviewFact: Factual Errors in Peer-Review Comments

ReviewFact is the benchmark of the paper PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews. Dingjie Song1, Zhiling Yan1, Ziqian Zhang1, Yuxuan Zhang2,3, Lichao Sun1 1Lehigh University, 2University of British Columbia, 3Vector Institute

(a) The task on a real ReviewFact comment that claims a baseline is missing although the paper reports it. (b) ReviewFact labels come from the expert annotations of three…