Results 131 to 140 of about 8,163 (222)
Text-to-SQL is a challenging task involving multiple reasoning-intensive subtasks, including natural language understanding, database schema comprehension, and precise SQL query formulation. Existing approaches often rely on handcrafted reasoning paths with inductive biases that can limit their overall effectiveness.
Pourreza, Mohammadreza +7 more
openaire +2 more sources
CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions [PDF]
Hanchong Zhang +4 more
openalex +1 more source
TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation [PDF]
, 2020 Ningyuan Sun, Xuefeng Yang, Yunfeng Liu
openalex +1 more source
SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy [PDF]
T Zhang +8 more
openalex +1 more source
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers. [PDF]
Front Big DataCasmiry E, Mduma N, Sinde R.
europepmc +1 more source
Spider Realistic Dataset In Structure-Grounded Pretraining for Text-to-SQL
, 2021 Xiang Deng +5 more
openalex +1 more source
Spider4SSC - A semantically equivalent text-to-SQL/SPARQL/Cypher dataset
Vejvar, Martin, Fujimoto, Yasutaka
openalex +1 more source
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL [PDF]
Zijin Hong +6 more
openalex +1 more source
On Deep Learning Approaches for Single-Turn Text-to-SQL Parsing: Concepts, Methods, and Future Directions [PDF]
Nathan Manzambi Ndongala
openalex +1 more source