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Beimnet Bekele Guta

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Preprint Aug 2026

Localized TabICLv2: Scaling Tabular In-Context Learning through k-NN

Localized TabICLv2 introduces a method that reduces the inference cost of TabICLv2 by retrieving only the k nearest training neighbours for each test point, measured by similarity in the model's Stage 2 row-representation space, rather than using the full training context.

Beimnet Bekele Guta · 0 citations