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Paper · arXiv

When Can Old Evaluations Certify a New Model? Label-Efficient Release Decisions under Evaluator Drift

Releasing a model update requires certifying that its current-population risk stays below a threshold. Trusted labels are expensive, while a cheap evaluator, such as an LLM judge, scores every example. Reusing evaluator errors from earlier audits is tempting, but when may such evidence replace current labels? It depends on the status of history. If the errors can change invisibly, no label-free test detects the change, and every valid, useful certifier must keep buying labels at a rate we characterize; if a bound on the change is assumed, label-free certification is valid at an explicit error cost. For the middle ground, where history is informative but untrusted, we propose \emph{portfol...

AuthorsJoyanta Jyoti Mondal, Mridul Banik, Md. Shifatul Ahsan Apurba et al.
Primary categorycs.LG
Published26 September 2026
Last updated at source26 September 2026
cs.LG
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