SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL

By Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister. 2024

96 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Information Systems and Management, Large Language Models, Code Generation & Program Synthesis

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jingren Zhou
2. Bolin Ding
3. Xiuyu Sun
4. Yaliang Li

In Information Systems

1. Bolin Ding
2. Jingren Zhou
3. Yaliang Li

In Information Systems and Management

1. Yaliang Li

In Large Language Models

1. Bolin Ding
2. Jingren Zhou
3. Yaliang Li

Citations in the corpus

• Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation (2023, background): “However, it is worth noting that despite the extensive research on prompt engineering for Text-to-SQL, there is a scarcity of studies exploring the supervised fine-tuning of LLMs for Text-to-SQL [37], leaving this area as an open question.”