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inference-time-context

topic1 events
papersTODAY 04:00 UTC

Study Finds Tabular Foundation Models Can Generalize From a Single Table

A new arXiv paper argues that deep tabular models using in-context learning can achieve broader generalization even when trained or conditioned on just one table. This challenges the common assumption that such models need many diverse tables to generalize well. The work focuses on inference-time context rather than weight updates.

tabular-data/in-context-learning/generalization/research