Interpretable by Design Tabular Prediction via In-Context Local Linear Learning

Ran Eisenberg, Steven Berger, Ofir Lindenbaum

In-context learning (ICL) lets tabular foundation models make predictions without dataset-specific training or fine-tuning. These models achieve strong predictive accuracy, but int…