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Text-to-SQL enables users to interact with databases through natural language, simplifying access to structured data.
Natural language interfaces to databases - an introduction
I. Androutsopoulos, G. D. Ritchie, and P. Thanisch · 1995
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T. Yu, R. Zhang, K. Yang, M. Yasunaga, D. Wang, Z. Li, J. Ma, I. Li, Q. Yao, S. Roman, Z. Zhang, and D. R. Radev · 2018
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Distilbert, a distilled version of BERT: smaller, faster, cheaper and lighter
V. Sanh, L. Debut, J. Chaumond, and T. Wolf · 2019
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Natural language interfaces to data
A. Quamar, V. Efthymiou, C. Lei, and F. Özcan · 2022
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Frugalgpt: How to use large language models while reducing cost and improving performance
L. Chen, M. Zaharia, and J. Zou · 2023
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Llm-blender: Ensembling large language models with pairwise ranking and generative fusion
D. Jiang, X. Ren, and B. Y. Lin · 2023
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Hybrid LLM: cost-efficient and quality-aware query routing
D. Ding, A. Mallick, C. Wang, R. Sim, S. Mukherjee, V. Rühle, L. V. S. Lakshmanan, and A. H. Awadallah · 2024
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Next-generation database interfaces: A survey of llm-based text-to-sql
Z. Hong, Z. Yuan, Q. Zhang, H. Chen, J. Dong, F. Huang, and X. Huang · 2024
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A survey of nl2sql with large language models: Where are we, and where are we going?
X. Liu, S. Shen, B. Li, P. Ma, R. Jiang, Y. Luo, Y. Zhang, J. Fan, G. Li, and N. Tang · 2024
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The death of schema linking? text-to-sql in the age of well-reasoned language models
K. Maamari, F. Abubaker, D. Jaroslawicz, and A. Mhedhbi · 2024
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End-to-end text-to-sql generation within an analytics insight engine
K. Maamari and A. Mhedhbi · 2024
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Routellm: Learning to route llms with preference data
I. Ong, A. Almahairi, V. Wu, W. Chiang, T. Wu, J. E. Gonzalez, M. W. Kadous, and I. Stoica · 2024
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Natural language interfaces for tabular data querying and visualization: A survey
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B. Li, Y. Luo, C. Chai, G. Li, and N. Tang · 2024
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W. Zhang, Y. Wang, Y. Song, V. J. Wei, Y. Tian, Y. Qi, J. H. Chan, R. C.-W. Wong, and H. Yang · 2024
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