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TabPFN-3.5: Technical Report

arXiv机器学习 2026-09-16 06:38 3 阅读 查看原文

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 Achievements

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
  • wide tables with many features

These gains carry over to our task-specific harnesses:

  • state of the art on relational data
  • stronger time-series forecasting

For faster inference, our variant TabPFN-3.5-Fast runs up to 3x faster than TabPFN-3 while keeping most of the accuracy gains.

In addition, we upgrade TabPFN-3.5-Plus, expanding our multimodal capabilities with advanced text and date handling alongside proprietary inference optimizations.

New Features and Improvements

Finally, we release a new version of our Thinking mode, TabPFN-3.5-Thinking, which scales inference-time computation to push the state of the art further.

It benefits from our stronger base model and from inference-time improvements that make it up to 12x faster than TabPFN-3-Thinking.