arxiv
PublishedSeptember 1, 2026 at 4:00 AM
Dynamically Allocating Evaluation Effort for Model Ranking
Publisher summary· verbatim
arXiv:2608.03437v2 Announce Type: replace Abstract: While human evaluation is the gold standard in many NLP tasks, it suffers from prohibitive costs and poor scalability. When identifying top-performing models, typical evaluation protocols waste effort by exhaustively evaluating all models on the en
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Originally published on arxiv ↗