AINeutralarXiv – CS AI · 14h ago6/10
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CalArena: A Large-Scale Post-Hoc Calibration Benchmark
Researchers introduce CalArena, a large-scale benchmark for evaluating post-hoc calibration methods in machine learning, covering nearly 2000 experiments across diverse tasks and model types. The study reveals that smooth calibration functions significantly outperform binning-based approaches, and provides open-source implementations to standardize calibration research.