This is a continuously updated handbook for readers to easily track the latest NL2SQL (Text2SQL) techniques in the literature and provide practical guidance for researchers and practitioners.

[NAACL 2024] TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition

[EMNLP 2024] NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization

An application which uses streamlit interface and converts user's query into SQL query, executes it on a database, and then returns the result.

Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179

The easiest and most comprehensive framework for building enterprise-grade NL2SQL solutions at scale.

Fine tune codellama-7b-hf to achieve natural language to SQL ability

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

Code and trained model for Hybrid ranking network for text-to-SQL on WikiSQL

AI Tool for querying natural language on tabular data.

A relation-aware semantic parsing model from English to SQL

Code for PointerSQL, PT-MAML, Execution-guided Decoding papers

Using Database Rule for Weak Supervised Text-to-SQL Generation https://arxiv.org/abs/1907.00620

Table2answer: Read the database and answer without SQL https://arxiv.org/abs/1902.04260

阿里天池首届中文NL2SQL挑战赛top6