Review
Open access
Aug 2026
The Current Generation of Tabular Foundation Models: A Critical Review
This review is, to the authors' knowledge, the first organised around the current generation of tabular foundation models, and taxonomises the architectures by pretraining regime, maps the capability space across five axes, isolates the language-model-on-tabular strand for prediction, feature engineering and generation, and summarises openness and deployment.
Sergei O. Kurashkin, V. Tynchenko, Alexey S. Borodulin et al.
· Machine Learning and Knowled... · 0 citations