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CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks

Alexander Apartsin, Yehudit Aperstein
Jun 3, 2026 at 04:00
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arXiv:2606.03650v1 Announce Type: cross Abstract: Choosing or ranking language models for a specific application is hardest when no task-specific labeled data exists, and standard public benchmarks cannot be trusted, their items having likely leaked into pretraining, so scores reflect memorization rather than fitness. We present CoEval, an...

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