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TabPFN-3.5 advances tabular foundation models with enhanced performance and speed

By PulseAugur Editorial · [1 sources] ·

A new technical report introduces TabPFN-3.5, a significant advancement in tabular foundation models. This model surpasses its predecessor, TabPFN-3, and other existing benchmarks across various tabular data challenges. TabPFN-3.5 demonstrates state-of-the-art performance on standard tabular prediction tasks and extends its capabilities to handle complex real-world data, including non-i.i.d. data with temporal or grouped splits, and tables containing text, strings, and images. Specialized variants like TabPFN-3.5-Fast offer up to 3x faster inference, while TabPFN-3.5-Plus enhances multimodal functionalities with improved text and date handling. Additionally, an upgraded 'Thinking' mode, TabPFN-3.5-Thinking, provides up to a 12x speed increase over its previous version. AI

IMPACT Sets new state-of-the-art for tabular data tasks, potentially accelerating applications in finance, healthcare, and e-commerce.

RANK_REASON Publication of a technical report detailing a new model with benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv stat.ML →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

TabPFN-3.5 advances tabular foundation models with enhanced performance and speed

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Publication of a technical report detailing a new model with benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv stat.ML TIER_1 English(EN) · Benjamin J\"ager, Nick Erickson, L\'eo Grinsztajn, Felix Birkel, Klemens Fl\"oge, Oscar Key, K\"ur\c{s}at Kaya, Jonas K\"ubler, Ad\`ele Frankel, Tobias Schr\"oder, Anurag Garg, Jan Hendrik Metzen, David Salinas, Simon Bing, Kristina Collins, Tuana \c{C}e… ·

    TabPFN-3.5: Technical Report

    arXiv:2609.17895v1 Announce Type: cross Abstract: 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 ar…

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