TabPFN-3.5: Technical Report
We introduce TabPFN-3.5, our new flagship Tabular Foundation Model. It significantly outperforms its predecessor, TabPFN-3, and all existing baselines across a broad range of tabular problems. TabPFN-3.5 sets a new state of the art on standard tabular prediction in TabArena, and extends it to the data practitioners encounter in practice: non-i.i.d. data with temporal or grouped splits, tables with strings, text and images, high-cardinality categorical features, and wide tables with many features. These gains carry over to our task-specific harnesses: state of the art on relational data and stronger time-series forecasting. For faster inference, our variant TabPFN-3.5-Fast runs up to 3x fa...
| Authors | Benjamin Jäger, Nick Erickson, Léo Grinsztajn et al. |
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| Primary category | cs.LG |
| Published | 15 September 2026 |
| Last updated at source | 22 September 2026 |
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