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Ai2 Researchers are Changing the Benchmarking Game by Introducing Fluid Benchmarking that Enhances Evaluation along Several Dimensions

Summary by MarkTechPost
A team of researchers from Allen Institute for Artificial Intelligence (Ai2), University of Washington and CMU introduce Fluid Benchmarking, an adaptive LLM evaluation method that replaces static accuracy with 2-parameter IRT ability estimation and Fisher-information–driven item selection. By asking only the most informative questions for a model’s current ability, it yields smoother training curves, delays benchmark saturation, improves externa…
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MarkTechPost broke the news in on Wednesday, September 17, 2025.
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