Fetching the paper…
Reading the bibliography…
Schema linking is a crucial step in Text-to-SQL pipelines.
Natural language interfaces to databases - an introduction
I. Androutsopoulos, G. D. Ritchie, and P. Thanisch · 1995
Earlier work this paper cites.
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
Earlier work this paper cites.
X-sql: reinforce schema representation with context
Pengcheng He, Yi Mao, Kaushik Chakrabarti, and Weizhu Chen · 2019
Earlier work this paper cites.
Bridging textual and tabular data for cross-domain text-to-sql semantic parsing
Xi Victoria Lin, Richard Socher, and Caiming Xiong · 2020
Earlier work this paper cites.
Hybrid ranking network for text-to-sql
Qin Lyu, Kaushik Chakrabarti, Shobhit Hathi, Souvik Kundu, Jianwen Zhang, and Zheng Chen · 2020
Earlier work this paper cites.
Natural language interfaces to data
Abdul Quamar, Vasilis Efthymiou, Chuan Lei, and Fatma Özcan · 2022
Earlier work this paper cites.
C3: Zero-shot text-to-sql with chatgpt
Xuemei Dong, Chao Zhang, Yuhang Ge, Yuren Mao, Yunjun Gao, lu Chen, Jinshu Lin, and Dongfang Lou · 2023
Earlier work this paper cites.
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
Earlier work this paper cites.
https://github.com/gkamradt/LLMTest_NeedleInAHaystack/blob/main/README.md
Gregory Kamradt, 2023, 2023 · 2023
Earlier work this paper cites.
Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin C. C. Chang, Fei Huang, Reynold Cheng, and Yongbin Li · 2023
Cited alongside, same era.
Din-sql: Decomposed in-context learning of text-to-sql with self-correction
Mohammadreza Pourreza and Davood Rafiei · 2023
Cited alongside, same era.
Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Edward Berman, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2023
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 · 2023
Cited alongside, same era.
Mcs-sql: Leveraging multiple prompts and multiple-choice selection for text-to-sql generation
Dongjun Lee, Choongwon Park, Jaehyuk Kim, and Heesoo Park · 2024
Closest in time.
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, Yuyu Luo, Yuxin Zhang, Ju Fan, Guoliang Li, and Nan Tang · 2024
Closest in time.
End-to-end text-to-sql generation within an analytics insight engine
Karime Maamari and Amine Mhedhbi · 2024
Closest in time.
Ge Qu, Jinyang Li, Bowen Li, Bowen Qin, Nan Huo, Chenhao Ma, and Reynold Cheng · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou · 2023
Cited alongside, same era.
Magic: Generating self-correction guideline for in-context text-to-sql
Arian Askari, Christian Poelitz, and Xinye Tang · 2024
Cited alongside, same era.
Nl2sql is a solved problem… not!
Avrilia Floratou, Fotis Psallidas, Fuheng Zhao, Shaleen Deep, Gunther Hagleither, Wangda Tan, Joyce Cahoon, Rana Alotaibi, Jordan Henkel, Abhik Singla, Alex Van Grootel, Brandon Chow, Kai Deng, Katherine Lin, Marcos Campos, K. Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, and Carlo Curino · 2024
Cited alongside, same era.
Next-generation database interfaces: A survey of llm-based text-to-sql
Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, and Xiao Huang · 2024
Cited alongside, same era.
Summary of a haystack: A challenge to long-context llms and rag systems
Philippe Laban, Alexander R. Fabbri, Caiming Xiong, and Chien-Sheng Wu · 2024
Cited alongside, same era.
The dawn of natural language to sql: Are we fully ready?
Boyan Li, Yuyu Luo, Chengliang Chai, Guoliang Li, and Nan Tang
Cited in the paper.
Needlebench: Can llms do retrieval and reasoning in 1 million context window?
Mo Li, Songyang Zhang, Yunxin Liu, and Kai Chen
Cited in the paper.
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
Cited in the paper.
Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, and et al · 2024
Closest in time.
Chess: Contextual harnessing for efficient sql synthesis
Shayan Talaei, Mohammadreza Pourreza, Yu-Chen Chang, Azalia Mirhoseini, and Amin Saberi · 2024
Closest in time.
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, and Zhoujun Li · 2024
Closest in time.
Natural language interfaces for tabular data querying and visualization: A survey
Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, and Haiqin Yang · 2024
Closest in time.