TICDA: Tabular In-Context Data Attribution
Tabular foundation models (TFMs) achieve strong predictive performance by conditioning on labeled demonstrations provided in context, without any parameter update. Yet how individual demonstrations shape a given prediction remains poorly understood. This gap matters in practice: the context is often assembled from what...
Yacine Benihaddadene, Milan Bhan, Eliot Dugelay et al.
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