arxiv
PublishedOctober 1, 2026 at 4:00 AM
—neutral
TabFM: A Zero-Shot Foundation Model for Tabular Data
Publisher summary· verbatim
arXiv:2609.37959v1 Announce Type: new Abstract: Tabular machine learning typically relies on per-dataset workflows, fitting tree ensembles or running AutoML searches from scratch for every task. We present TabFM, a 400M-parameter tabular foundation model that formulates supervised tabular prediction
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Originally published on arxiv ↗