Author

Andrej Tschalzev

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Preprint Aug 2026

Lost in Aggregation: How Benchmarks Overlook Irreplaceable Model Strengths

This work argues that benchmark evaluation should also consider the data-centric peak performance frontier, defined by the best statistically supported performance achieved on each dataset, and finds that common aggregation metrics are highly correlated and largely measure consistency and avoiding failures, while being much less aligned with dataset-level irreplaceability.

Andrej Tschalzev, Stefan Lüdtke, Heiner Stuckenschmidt et al. · 0 citations

Jun 2026

Beyond IID: How General Are Tabular Foundation Models, Really?

BeyondArena is the first unified holistic benchmark for tabular data that supports diverse task types (IID, temporal, grouped), across sample size and feature dimensionality scales, with diverse feature types from a broad range of disciplines.

Lennart Purucker, Andrej Tschalzev, Nick Erickson et al. · arXiv.org · 2 citations