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Xiaomi-TabLDM: A Tabular Foundation Model Technical Report

arXiv · AI, language, vision and robotics · article · Sep 3, 2026 · UTC

We introduce Xiaomi-TabLDM, a tabular large data foundation model for classification and regression via in-context learning, which delivers superior prediction accuracy without requiring task-specific fine-tuning. Pretrained exclusively on synthetic data generated from structural causal models (SCMs), our model enables more flexible context utilization and more efficient capacity scaling. i) A new performance standard. Strong regression performance across benchmarks: Xiaomi-TabLDM ranks 1st on OpenML-CTR23 and 2nd on regression across TALENT, TabArena, and BCCO, demonstrating consistently stro

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Evidence & attribution

First collected: 2026-09-21T04:51:57.792Z. This is not the publication date.