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Frank Hutter

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#machine learning Preprint Aug 2026

Understanding the Surprising Generalization Properties of Tabular Foundation Models

A task-centric, retrieval-based perspective is offered for how TFMs generalize: it is believed that tabular in-context generalization is largely retrieval-based, and good models are those that learn to identify relevant examples in the provided context and aggregate them well.

Nour Shaheen, Junwei Ma, Alex Labach et al. · 1 citation