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cs.CL2025
Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL
Qifeng Cai, Hao Liang, Chang Xu +3
The data-centric paradigm has emerged as a pivotal direction in artificial intelligence (AI), emphasizing the role of high-quality training data. This shift is especially critical…
cs.CL2024★ 2 cited
Using LLM to select the right SQL Query from candidates
Zhenwen Li, Tao Xie
Text-to-SQL models can generate a list of candidate SQL queries, and the best query is often in the candidate list, but not at the top of the list. An effective re-rank method can…
cs.CL2023
Data Transformation to Construct a Dataset for Generating Entity-Relationship Model from Natural Language
Zhenwen Li, Jian-Guang Lou, Tao Xie
In order to reduce the manual cost of designing ER models, recent approaches have been proposed to address the task of NL2ERM, i.e., automatically generating entity-relationship (E…