Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL

The current state-of-the-art (SOTA) for automated text-to-SQL still falls well short of expert human performance as measured by execution accuracy (EX) on the BIRD-SQL benchmark. The most accurate methods are also slow and expensive. To advance the SOTA for text-to-SQL while reducing cost and improv...

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Veröffentlicht in:	arXiv.org 2024-04
Hauptverfasser:	Thorpe, Dayton G, Duberstein, Andrew J, Kinsey, Ian A
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Human performance Large language models Low cost Query languages Retrieval
Online-Zugang:	Volltext
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