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Text-to-SQL is a challenging task involving multiple reasoning-intensive subtasks, including natural language understanding, database schema comprehension, and precise SQL query formulation.
Natural language interfaces to databases–an introduction
Ion Androutsopoulos, Graeme D Ritchie, and Peter Thanisch · 1995
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Efficient ir-style keyword search over relational databases
Vagelis Hristidis, Yannis Papakonstantinou, and Luis Gravano · 2003
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Towards a theory of natural language interfaces to databases
Ana-Maria Popescu, Oren Etzioni, and Henry Kautz · 2003
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Modern natural language interfaces to databases: Composing statistical parsing with semantic tractability
Ana-Maria Popescu, Alex Armanasu, Oren Etzioni, David Ko, and Alexander Yates · 2004
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Constructing an interactive natural language interface for relational databases
Fei Li and Hosagrahar V Jagadish · 2014
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Reinforcement learning with unsupervised auxiliary tasks
Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z Leibo, David Silver, and Koray Kavukcuoglu · 2016
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Sqlnet: Generating structured queries from natural language without reinforcement learning
Xiaojun Xu, Chang Liu, and Dawn Song · 2017
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Seq2sql: Generating structured queries from natural language using reinforcement learning
Victor Zhong, Caiming Xiong, and Richard Socher · 2017
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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
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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 · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Reinforcement learning approaches in social robotics
Neziha Akalin and Amy Loutfi · 2021
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Unbiased methods for multi-goal reinforcement learning
Léonard Blier and Yann Ollivier · 2021
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Sadga: Structure-aware dual graph aggregation network for text-to-sql
Ruichu Cai, Jinjie Yuan, Boyan Xu, and Zhifeng Hao · 2021
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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
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Towards robustness of text-to-SQL models against synonym substitution
Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie, and Pengsheng Huang · 2021
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Picard: Parsing incrementally for constrained auto-regressive decoding from language models
Torsten Scholak, Nathan Schucher, and Dzmitry Bahdanau · 2021
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Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
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Reinforcement learning with sparse rewards using guidance from offline demonstration
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep Kalathil, and Srinivas Shakkottai · 2022
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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
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Star: Bootstrapping reasoning with reasoning
Eric Zelikman, Yuhuai Wu, Jesse Mu, and Noah Goodman · 2022
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Deep reinforcement learning for traffic signal control with consistent state and reward design approach
Salah Bouktif, Abderraouf Cheniki, Ali Ouni, and Hesham El-Sayed · 2023
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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
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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
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O1 replication journey: A strategic progress report–part 1
Yiwei Qin, Xuefeng Li, Haoyang Zou, Yixiu Liu, Shijie Xia, Zhen Huang, Yixin Ye, Weizhe Yuan, Hector Liu, Yuanzhi Li, et al · 2024
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Deepseekmath: Pushing the limits of mathematical reasoning in open language models
Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, YK Li, Y Wu, et al · 2024
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Xuemei Dong, Chao Zhang, Yuhang Ge, Yuren Mao, Yunjun Gao, Jinshu Lin, Dongfang Lou, et al · 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
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Let’s verify step by step
Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, and Karl Cobbe · 2023
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Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, and Dragomir Radev · 2023
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Reward design for an online reinforcement learning algorithm supporting oral self-care
Anna L Trella, Kelly W Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, and Susan A Murphy · 2023
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Mac-sql: Multi-agent collaboration for text-to-sql
Bing Wang, Changyu Ren, Jian Yang, Xinnian Liang, Jiaqi Bai, Qian-Wen Zhang, Zhao Yan, and Zhoujun Li · 2023
Cited alongside, same era.
Act-sql: In-context learning for text-to-sql with automatically-generated chain-of-thought, 2023
Hanchong Zhang, Ruisheng Cao, Lu Chen, Hongshen Xu, and Kai Yu · 2023
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Scaling llm test-time compute optimally can be more effective than scaling model parameters
Charlie Snell, Jaehoon Lee, Kelvin Xu, and Aviral Kumar · 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
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Marco-o1: Towards open reasoning models for open-ended solutions
Yu Zhao, Huifeng Yin, Bo Zeng, Hao Wang, Tianqi Shi, Chenyang Lyu, Longyue Wang, Weihua Luo, and Kaifu Zhang · 2024
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Sft memorizes, rl generalizes: A comparative study of foundation model post-training
Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V Le, Sergey Levine, and Yi Ma · 2025
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Alphamaze: Enhancing large language models’ spatial intelligence via grpo
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
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Fine-tuning text-to-sql models with reinforcement-learning training objectives
Xuan-Bang Nguyen, Xuan-Hieu Phan, and Massimo Piccardi · 2025
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Kimi k1. 5: Scaling reinforcement learning with llms
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Swe-rl: Advancing llm reasoning via reinforcement learning on open software evolution
Yuxiang Wei, Olivier Duchenne, Jade Copet, Quentin Carbonneaux, Lingming Zhang, Daniel Fried, Gabriel Synnaeve, Rishabh Singh, and Sida I Wang · 2025
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Opensearch-sql: Enhancing text-to-sql with dynamic few-shot and consistency alignment
Xiangjin Xie, Guangwei Xu, Lingyan Zhao, and Ruijie Guo · 2025
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Acecoder: Acing coder rl via automated test-case synthesis
Huaye Zeng, Dongfu Jiang, Haozhe Wang, Ping Nie, Xiaotong Chen, and Wenhu Chen · 2025
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