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Bin-Yan Jiang

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#machine learning Preprint Aug 2026

Do Tabular Foundation Models Still Need Feature Engineering?

A controlled study across several versions of two major TFM families finds a consistent pattern: feature engineering gains are concentrated in earlier model generations and become negligible for the strongest models, suggesting that stronger TFMs depend less on explicitly engineered input representations.

Yi-Fan Wu, Pin-Jun Dong, Jia Tao et al. · 0 citations

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