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With the development of the Large Language Models (LLMs), a large range of LLM-based Text-to-SQL(Text2SQL) methods have emerged.
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Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. In Findings of the Association for Computational Linguistics: EMNLP 2020 , Trevor Cohn, Yulan He, and Yang Liu (Eds.). Association for Computational Linguistics, Online, 4870–4888
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Hybrid ranking network for text-to-sql
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ATHENA++: Natural Language Querying for Complex Nested SQL Queries
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DuSQL: A large-scale and pragmatic Chinese text-to-SQL dataset. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 6923–6935
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Semantic evaluation for text-to-SQL with distilled test suites
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Ryansql: Recursively applying sketch-based slot fillings for complex text-to-sql in cross-domain databases
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Exploring underexplored limitations of cross-domain text-to-SQL generalization
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Natural SQL: Making SQL easier to infer from natural language specifications
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Lora: Low-rank adaptation of large language models
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KaggleDBQA: Realistic evaluation of text-to-SQL parsers
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The power of scale for parameter-efficient prompt tuning
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COMBINE: A Pipeline for SQL Generation from Natural Language. In Advances in Computing and Data Sciences: 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part II 5 . Springer, 97–106
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PICARD: Parsing incrementally for constrained auto-regressive decoding from language models
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Finetuned language models are zero-shot learners
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Measuring and improving compositional generalization in text-to-sql via component alignment
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Decomposed prompting: A modular approach for solving complex tasks
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Codegen: An open large language model for code with multi-turn program synthesis
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RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , Yoav Goldberg, Zornitsa Kozareva, and Yue Zhang (Eds.). Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, 3215–3229
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A survey on text-to-sql parsing: Concepts, methods, and future directions
Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Jinyang Li, Binhua Li, Ruiying Geng, Rongyu Cao, Jian Sun, Luo Si, et al · 2022
Cited alongside, same era.
Evaluating the Text-to-SQL Capabilities of Large Language Models
Nitarshan Rajkumar, Raymond Li, and Dzmitry Bahdanau. 2022 · 2022
Cited alongside, same era.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
Cited alongside, same era.
A Complete Survey on LLM-based AI Chatbots
Sumit Kumar Dam, Choong Seon Hong, Yu Qiao, and Chaoning Zhang. 2024 · 2024
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Qlora: Efficient finetuning of quantized llms
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2024 · 2024
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Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al · 2024
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Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translation
Yuankai Fan, Zhenying He, Tonghui Ren, Can Huang, Yinan Jing, Kai Zhang, and X. Sean Wang. 2024 · 2024
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NL2SQL is a solved problem… Not!
Avrilia Floratou and Fotis Psallidas. 2024 · 2024
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Chain-of-thought prompting elicits reasoning in large language models
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2022 · 2022
Cited alongside, same era.
Least-to-most prompting enables complex reasoning in large language models
Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc Le, et al · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Aseem Arora, Shabbirhussain Bhaisaheb, Manasi Patwardhan, Lovekesh Vig, and Gautam Shroff. 2023 · 2023
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How to prompt llms for text-to-sql: A study in zero-shot, single-domain, and cross-domain settings
Shuaichen Chang and Eric Fosler-Lussier. 2023 · 2023
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Dr. spider: A diagnostic evaluation benchmark towards text-to-sql robustness
Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, et al · 2023
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Break the sequential dependency of llm inference using lookahead decoding
Yichao Fu, Peter Bailis, Ion Stoica, and Hao Zhang. 2024 · 2024
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DeepSeek-Coder: When the Large Language Model Meets Programming-The Rise of Code Intelligence
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Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM. In Findings of the Association for Computational Linguistics ACL 2024 . 10997–11008
Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, and Xiao Huang. 2024a · 2024
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Next-generation database interfaces: A survey of llm-based text-to-sql
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LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems . 1–7
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Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida I. Wang, and Tao Yu. 2024 · 2024
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Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls
Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, et al · 2024
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PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency
Zhishuai Li, Xiang Wang, Jingjing Zhao, Sun Yang, Guoqing Du, Xiaoru Hu, Bin Zhang, Yuxiao Ye, Ziyue Li, Rui Zhao, et al · 2024
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A Survey of NL2SQL with Large Language Models: Where are we, and where are we going?
Xinyu Liu, Shuyu Shen, Boyan Li, Peixian Ma, Runzhi Jiang, Yuxin Zhang, Ju Fan, Guoliang Li, Nan Tang, and Yuyu Luo. 2024 · 2024
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PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing . 3767–3799
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The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models
Karime Maamari, Fadhil Abubaker, Daniel Jaroslawicz, and Amine Mhedhbi. 2024 · 2024
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Chase-sql: Multi-path reasoning and preference optimized candidate selection in text-to-sql
Mohammadreza Pourreza, Hailong Li, Ruoxi Sun, Yeounoh Chung, Shayan Talaei, Gaurav Tarlok Kakkar, Yu Gan, Amin Saberi, Fatma Ozcan, and Sercan O Arik. 2024 · 2024
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Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation
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BASE-SQL: A powerful open source Text-To-SQL baseline approach
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OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment
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Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, and Huan Li. 2025 · 2025
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