Mind the Gap? A Distributional Comparison of Real and Synthetic Priors for Tabular Foundation Models

概要

arXiv:2605.06343v1 Announce Type: new Abstract: Tabular foundation models are pre-trained on one of three classes of corpus: curated datasets drawn from benchmark repositories, tables harvested at scale from the web, or synthetic tables sampled from a parametric generative prior. Despite the centra…