TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models
概要
arXiv:2605.06047v1 Announce Type: cross Abstract: Tabular foundation models (TFMs), such as TabPFN-2.6, TabICLv2, ConTextTab, Mitra, LimiX, and TabDPT, achieve strong zero-shot performance through in-context learning, but their inductive biases remain fixed at inference time. Adapting a pretrained …
