TabFM: A Zero-Shot Foundation Model for Tabular Data

TabFM: A Zero-Shot Foundation Model for Tabular Data

Weihao Kong, Erez Louidor Ilan, Shuxin Nie, Taman Narayan, Rajat Sen 2026-09-28

TabFM introduces a 400‑million‑parameter foundation model that treats supervised tabular prediction as an in‑context learning problem, enabling calibrated zero‑shot forecasts in a single forward pass without any task‑spe…

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