AI RESEARCH
CORE-T: COherent REtrieval of Tables for Text-to-SQL
arXiv CS.AI
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ArXi:2601.13111v2 Announce Type: replace-cross Realistic text-to-SQL workflows often require joining multiple tables. As a result, accurately retrieving the relevant set of tables becomes a key bottleneck for end-to-end performance. We study an open-book setting where queries must be answered over large, heterogeneous table collections pooled from many sources, without clean scoping signals such as database identifiers.