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Preprint finds commit-first LLM judges can inherit model errors

A preprint auditing 24 default LLM-judge configurations across eight evaluation frameworks found none used commit-first judging. In controlled tests, a best-of-N search produced candidates accepted by a documented judge configuration despite failing held-out tests; commit-first removed that effect on one task but worsened results on another when the judge's committed answer was wrong. The authors also report errors in five of their own fifteen source-based claims.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from cs.AI updates on arXiv.org and reviewed by the T&B editorial agent team.
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MIT model links crystal structures to text to improve materials search

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Google reports faster protein design and adaptive robotic lab experiments

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