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data augmentation 1large language models 1multi-turn dialogue 1question answering 1sql generation 1text-to-sql 1

From the 1 of 11 linked papers with an AI index.

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20242026
most citedQDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL

2 citations · 3 across the 3 of their papers we have counts for

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cs.AI2026★ 2 cited

QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL

Yinggang Sun, Ziming Guo, Haining Yu +5

The paper introduces QDA-SQL, a data augmentation technique that uses large language models to generate and validate multi‑turn question‑answer pairs, improving fine‑tuned models'…