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…
arXiv cs.LG
TIER_1English(EN)·Jingang Qu, David Holzm\"uller, Ga\"el Varoquaux, Marine Le Morvan·
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, …
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…
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…
arXiv cs.AI
TIER_1English(EN)·Junwei Ma, Nour Shaheen, Alex Labach, Amine Mhedhbi, Frank Hutter, Anthony L. Caterini, Valentin Thomas·
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…
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…
<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…
<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…
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…
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…
<!-- 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 …
