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Random Is Almost Enough? Stable and Low-Cost Benchmark Compression via BestRand research paper by Carnegie Mellon University, 2026

Carnegie Mellon University · Agents and evaluation · Oct 31, 2026 · 51 upvotes · unverified

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BestRand is a method for selecting small benchmark subsets that reliably estimate full evaluation scores at lower computational costs.

By George Ling, Shanshan Zhong, Lijin Yang and 3 more · arXiv 2611.00883 · PDF · Code

UnverifiedSummarised by a model from the abstract; not yet checked by hand.

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New summaryNov 9, 2026BestRand is a method for selecting small benchmark subsets that reliably estimate full evaluation scores at lower computational costs.
New paperNov 9, 2026Found by the weekly Hugging Face scan; not yet checked by hand.