Author

Félix Lefebvre

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#machine learning Preprint Oct 2026

TILE: Bridging LLMs and Table Foundation Models for Tabular Learning with Strings

Real-world tables are often heterogeneous, combining numerical features with free-form string columns. Table foundation models (TFMs) excel on numerical tables but require strings to be encoded numerically, while large language models (LLMs) hold semantic knowledge but are not designed for tabular predictions. Most exi...

Félix Lefebvre, David Holzmüller, Gioia Blayer et al. · 0 citations