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arXiv 2609.37959 · cs.LG · 2026-09-29

TabFM: A Zero-Shot Foundation Model for Tabular Data

Weihao Kong, Erez Louidor Ilan, Shuxin Nie, Taman Narayan, Rajat Sen, Yichen Zhou, Deqing Fu, Samet Oymak and 1 more

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In latest · #38 Added on 2026-10-21

One-line takeaway

TabFM is a 400M-parameter tabular foundation model trained on synthetic tables that predicts zero-shot in a single forward pass.

TabFM 是 4 亿参数的表格基础模型,全靠合成数据训练,单次前向即可零样本预测。

21HF upvotes
2.8kGitHub stars
22Citations (Semantic Scholar)
68.9Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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