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Evaluation Scores Are Perishable Knowledge Claims

Source
arxiv.org
Author
Sankalp Gilda, Shlok Gilda
Date
Why it matters

Averaging automated metrics, -judge ratings and human review inflates confidence past the weakest signal — on HELM, mean versus weakest-link aggregation yields entirely different top-five model rankings.

Terms in this piece · Glossary
  • eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
  • benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
  • LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
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