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Existing tabular foundation models excel only on small IID datasets, leaving a significant gap in performance on more complex, real-world data challenges.
Stop relying on small-scale, inconsistent evaluations: CalArena offers a large-scale, standardized benchmark revealing that smooth calibration functions and dedicated multiclass methods are essential for effective post-hoc calibration.
