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New tabular foundation models TabPFN-3.5 and Causilo achieve state-of-the-art results

New tabular foundation models are advancing rapidly, with Prior Labs releasing TabPFN-3.5 and Nums AI releasing Causilo. TabPFN-3.5 demonstrates strong performance, outperforming a winning Kaggle solution from 2015 on the Otto dataset with default settings and topping several benchmarks. Causilo also leads TabArena rankings among single models for both classification and regression tasks. Research also indicates that while feature engineering gains are diminishing for advanced tabular foundation models, providing in-context information remains beneficial. AI

IMPACT These advancements in tabular foundation models suggest a continued shift away from traditional feature engineering and towards in-context learning for tabular data.

RANK_REASON Multiple new tabular foundation models released by different labs, achieving state-of-the-art results on benchmarks.

Read on arXiv cs.NE (Neural & Evolutionary) →

AI-generated summary · Google Gemini · from 11 sources. How we write summaries →

New tabular foundation models TabPFN-3.5 and Causilo achieve state-of-the-art results

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Multiple new tabular foundation models released by different labs, achieving state-of-the-art results on benchmarks.
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COVERAGE [11]

  1. arXiv cs.AI TIER_1 English(EN) · Kaihua Ding ·

    Is It Still Worth Training a Classical Model in the Era of LLMs? A Crossover Benchmark on Tabular Data

    arXiv:2609.20218v1 Announce Type: cross Abstract: Large language models can label a tabular row from a plain-English description with no training - a capability now shipping in mainstream spreadsheet tools such as Microsoft Copilot in Excel and Anthropic's Claude for Excel - rais…

  2. arXiv cs.LG TIER_1 English(EN) · Jingang Qu, David Holzm\"uller, Ga\"el Varoquaux, Marine Le Morvan ·

    TabICLv2: A better, faster, scalable, and open tabular foundation model

    arXiv:2602.11139v2 Announce Type: replace Abstract: Tabular foundation models, such as TabPFNv2 and TabICL, have recently dethroned gradient-boosted trees at the top of predictive benchmarks, demonstrating the value of in-context learning for tabular data. We introduce TabICLv2, …

  3. arXiv cs.LG TIER_1 English(EN) · Lu Han, Jin Wang, Yuchen Li, Haoran Gu, Shulei Liu, Ziyang Shi, Wenao Lu, Handing Wang ·

    Benchmarking Tabular Foundation Models as Surrogates in Expensive Evolutionary Optimization

    arXiv:2609.18130v1 Announce Type: cross Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) are effective methods for solving expensive optimization problems (EOPs), where surrogate models replace most expensive evaluations and critically influence the final optimization…

  4. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Handing Wang ·

    Benchmarking Tabular Foundation Models as Surrogates in Expensive Evolutionary Optimization

    Surrogate-assisted evolutionary algorithms (SAEAs) are effective methods for solving expensive optimization problems (EOPs), where surrogate models replace most expensive evaluations and critically influence the final optimization results. In recent years, tabular foundation mode…

  5. arXiv cs.AI TIER_1 English(EN) · Junwei Ma, Nour Shaheen, Alex Labach, Amine Mhedhbi, Frank Hutter, Anthony L. Caterini, Valentin Thomas ·

    Generalization Can Emerge in Tabular Foundation Models From a Single Table

    arXiv:2511.09665v1 Announce Type: cross Abstract: Deep tabular modelling increasingly relies on in-context learning where, during inference, a model receives a set of $(x,y)$ pairs as context and predicts labels for new inputs without weight updates. We challenge the prevailing v…

  6. arXiv cs.LG TIER_1 English(EN) · Yifan WU, Pinjun Dong, Jiran Tao, Binyan Jiang ·

    Do Tabular Foundation Models Still Need Feature Engineering?

    arXiv:2609.13202v1 Announce Type: new Abstract: Feature engineering has long been a cornerstone of tabular machine learning. Tabular foundation models (TFMs) are pretrained on a wide range of tabular datasets and applied via in-context learning. Their rise raises a natural questi…

  7. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Prior Labs Releases TabPFN-3.5: A Tabular Foundation Model That Beats the Winning Otto Kaggle Solution With Default Settings

    <p>Prior Labs released TabPFN-3.5, a tabular foundation model pretrained only on synthetic data that beats Otto's winning solution.</p> <p>The post <a href="https://www.marktechpost.com/2026/09/15/prior-labs-releases-tabpfn-3-5-a-tabular-foundation-model-that-beats-the-winning-ot…

  8. MarkTechPost TIER_1 English(EN) · Michal Sutter ·

    Nums AI Releases Causilo: A Tabular Foundation Model That Tops TabArena Among Single Models

    <p>Nums AI has released Causilo, a pretrained tabular foundation model for classification and regression with a scikit-learn interface. It posts the top TabArena Elo among single models, ahead of Google's TabFM and LG's EXAONE Tabular. The code is Apache-2.0, while weights are li…

  9. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Prior Labs has released TabPFN-3.5, a tabular foundation model that beats the winning Otto Kaggle solution with default settings. The model was pretrained only

    Prior Labs has released TabPFN-3.5, a tabular foundation model that beats the winning Otto Kaggle solution with default settings. The model was pretrained only on synthetic data and scores 0.375 on the private leaderboard. https://www. marktechpost.com/2026/09/15/pr ior-labs-rele…

  10. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Nums AI has released Causilo, a pretrained tabular foundation model for classification and regression. The model tops TabArena rankings among single models for

    Nums AI has released Causilo, a pretrained tabular foundation model for classification and regression. The model tops TabArena rankings among single models for both classification and regression tasks, using an in-context learning approach. https://www. marktechpost.com/2026/09/1…

  11. r/MachineLearning TIER_1 English(EN) · /u/tuanacelik ·

    TabPFN-3.5 is released as the next SOTA tabular foundation model [N]

    <!-- SC_OFF --><div class="md"><p>Prior Labs released their latest tabular foundation model, TabPFN-3.5 today.</p> <p>The model is top of both TabArena and BeyondArena and SOTA for 1M rows and up to 20k features</p> <p>It comes with:</p> <p>- TabPFN-3.5-Fast (in alpha): This one …