arXiv cs.LGPaper
Understanding the Surprising Generalization Properties of Tabular Foundation Models
This has practical implications for teams building tabular ML products: it suggests pre-training corpus design should prioritize diverse, feature-rich tables over sheer data volume. Worth reading for anyone building TFM-based products competing with traditional gradient-boosted trees.