most citedMageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models

2 citations · 3 across the 6 of their papers we have counts for

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cs.DB2025

LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes

Yihao Hu, Jin Wang, Sajjadur Rahman

Data discovery from data lakes is an essential application in modern data science. While many previous studies focused on improving the efficiency and effectiveness of data discove…

cs.DB2025

Towards Operationalizing Heterogeneous Data Discovery

Jin Wang, Yanlin Feng, Chen Shen +2

Querying and exploring massive collections of data sources, such as data lakes, has been an essential research topic in the database community. Although many efforts have been paid…

cs.DB2025★ 2 cited

MageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models

Chen Shen, Jin Wang, Sajjadur Rahman +1

The text-to-SQL problem aims to translate natural language questions into SQL statements to ease the interaction between database systems and end users. Recently, Large Language Mo…