Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
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arXiv:2501.04234v2 Announce Type: replace Abstract: Modern artificial intelligence is supported by machine learning models (e.g., foundation models) that are pretrained on a massive data corpus and then adapted to solve a variety of downstream tasks. To summarize performance across multiple tasks,…
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- 2026-09-14 04:00 · arXiv stat.ML
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks