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Recent In-Context Learning based methods have achieved remarkable success in Text-to-SQL task.
Learning to parse database queries using inductive logic programming
JohnM. Zelle and RaymondJ. Mooney. 1996 · 1996
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and QuocV. Le. 2014 · 2014
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, AidanN. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Sqlnet: Generating structured queries from natural language without reinforcement learning
Xiaojun Xu, Chang Liu, and Dawn Song. 2017 · 2017
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Seq2sql: Generating structured queries from natural language using reinforcement learning
Victor Zhong, Caiming Xiong, and Richard Socher. 2017 · 2017
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Robust text-to-sql generation with execution-guided decoding
Chenglong Wang, Kedar Tatwawadi, Marc Brockschmidt, Po-Sen Huang, Yi Mao, Oleksandr Polozov, and Rishabh Singh. 2018 · 2018
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Dynamic self-attention: Computing attention over words dynamically for sentence embedding
Deunsol Yoon, Dongbok Lee, and SangKeun Lee. 2018 · 2018
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Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, and Dragomir Radev. 2018 · 2018
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Towards complex text-to-sql in cross-domain database with intermediate representation
Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, and Dongmei Zhang. 2019 · 2019
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A comprehensive exploration on wikisql with table-aware word contextualization
Wonseok Hwang, Jinyeung Yim, Seung-Hyun Park, and Minjoon Seo. 2019 · 2019
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Language models are few-shot learners
T.B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Askell Amanda, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Henighan Tom, Rewon Child, A. Ramesh, DanielM. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, EricJ. Sigler, Mateusz Litwin, Scott Gray, Chess Benjamin, Jack Clark, Christopher Berner, McCandlish Sam, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers
Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, and Matthew Richardson. 2020 · 2020
Cited alongside, same era.
Improving text-to-sql with schema dependency learning
Hui Binyuan, Xiang Shi, Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, and Xiaodan Zhu. 2021 · 2021
Cited alongside, same era.
Sadga: Structure-aware dual graph aggregation network for text-to-sql
Ruichu Cai, Jinjie Yuan, Boyan Xu, and Zhifeng Hao. 2021 · 2021
Cited alongside, same era.
Lgesql: Line graph enhanced text-to-sql model with mixed local and non-local relations
Ruisheng Cao, Lu Chen, Zhi Chen, Yanbin Zhao, Su Zhu, and Kai Yu. 2021 · 2021
Cited alongside, same era.
Ryansql: Recursively applying sketch-based slot fillings for complex text-to-sql in cross-domain databases
DongHyun Choi, Myeong Cheol Shin, EungGyun Kim, and Dong Ryeol Shin. 2021 · 2021
Cited alongside, same era.
C3: Zero-shot text-to-sql with chatgpt
Xuemei Dong, Chao Zhang, Yuhang Ge, Yuren Mao, Yunjun Gao, Jinshu Lin, Dongfang Lou, et al. 2023 · 2023
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Text-to-sql empowered by large language models: A benchmark evaluation
Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, and Jingren Zhou. 2023 · 2023
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Din-sql: Decomposed in-context learning of text-to-sql with self-correction
Mohammadreza Pourreza and Davood Rafiei. 2023 · 2023
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Sql-palm: Improved large language model adaptation for text-to-sql (extended)
Ruoxi Sun, Sercan Ö Arik, Alex Muzio, Lesly Miculicich, Satya Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, et al. 2023 · 2023
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Tomer Wolfson, Daniel Deutch, and Jonathan Berant. 2021 · 2021
Cited alongside, same era.
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 · 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.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 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 · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
Cited alongside, same era.
Codes: Towards building open-source language models for text-to-sql
Haoyang Li, Jing Zhang, Hanbing Liu, Ju Fan, Xiaokang Zhang, Jun Zhu, Renjie Wei, Hongyan Pan, Cuiping Li, and Hong Chen. 2024a
Cited in the paper.
Chang-You Tai, Ziru Chen, Tianshu Zhang, Xiang Deng, and Huan Sun. 2023 · 2023
Later among the works it cites.
Mcs-sql: Leveraging multiple prompts and multiple-choice selection for text-to-sql generation
Dongjun Lee, Choongwon Park, Jaehyuk Kim, and Heesoo Park. 2024 · 2024
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Dts-sql: Decomposed text-to-sql with small large language models
Mohammadreza Pourreza and Davood Rafiei. 2024 · 2024
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Chess: Contextual harnessing for efficient sql synthesis
Shayan Talaei, Mohammadreza Pourreza, Yu-Chen Chang, Azalia Mirhoseini, and Amin Saberi. 2024 · 2024
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Mac-sql: A multi-agent collaborative framework for text-to-sql
Bing Wang, Changyu Ren, Jian Yang, Xinnian Liang, Jiaqi Bai, Linzheng Chai, Zhao Yan, Qian-Wen Zhang, Di Yin, Xing Sun, et al. 2024 · 2024
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Decomposition for enhancing attention: Improving llm-based text-to-sql through workflow paradigm
Yuanzhen Xie, Xinzhou Jin, Tao Xie, MingXiong Lin, Liang Chen, Chenyun Yu, Lei Cheng, ChengXiang Zhuo, Bo Hu, and Zang Li. 2024 · 2024
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