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Do Tabular Foundation Models Still Need Feature Engineering?

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.13202v1 Announce Type: new Abstract: Feature engineering has long been a cornerstone of tabular machine learning. Tabular foundation models (TFMs) are pretrained on a wide range of tabular datasets and applied via in-context learning. Their rise raises a natural question: does manual fea…

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  1. 2026-09-15 04:00 · arXiv cs.LG
    Do Tabular Foundation Models Still Need Feature Engineering?

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