Francesco Capano

Probing Memorization of Tabular In-Context Learning

ICLMEM is introduced, a probing framework designed to separate context-based predictions from parametric memorization in tabular ICL, and shows LTM memorization signals under specific circumstances (single-task fine-tuning with fixed samples across many epochs and small query size).