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Schema linking is a critical bottleneck in applying existing Text-to-SQL models to real-world, large-scale, multi-database environments.
Towards complex text-to-sql in cross-domain database with intermediate representation
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Global reasoning over database structures for text-to-sql parsing
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Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers
Bailin Wang, Ryuji Shin, Xiaodan Liu, Oleg Polozov, and Michael Richardson. 2019 · 1911
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Learning to parse database queries using inductive logic programming
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Athena: an ontology-driven system for natural language querying over relational data stores
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Least-to-most prompting enables complex reasoning in large language models
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An encoder-decoder framework translating natural language to database queries
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Attention is all you need
Ashish Vaswani. 2017 · 2017
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Synthesizing highly expressive sql queries from input-output examples
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Seq2sql: Generating structured queries from natural language using reinforcement learning
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin. 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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Exploring the limits of transfer learning with a unified text-to-text transformer
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Sadga: Structure-aware dual graph aggregation network for text-to-sql
Rui Cai, Jian Yuan, Bing Xu, et al. 2021 · 2021
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Lgesql: line graph enhanced text-to-sql model with mixed local and non-local relations
Rui Cao, Lijun Chen, Zhiwei Chen, et al. 2021 · 2021
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Ryansql: Recursively applying sketch-based slot fillings for complex text-to-sql in cross-domain databases
D. Choi, M. C. Shin, E. G. Kim, and D. R. Shin. 2021 · 2021
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Enabling lightweight fine-tuning for pre-trained language model compression based on matrix product operators
Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, and Ji-Rong Wen. 2021 · 2021
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Picard: Parsing incrementally for constrained auto-regressive decoding from language models
Tobias Scholak, Nicolai Schucher, and Dzmitry Bahdanau. 2021 · 2021
Sql-palm: Improved large language model adaptation for text-to-sql (extended)
R. Sun, S. Ö. Arik, A. Muzio, L. Miculicich, S. Gundabathula, P. Yin, and T. Pfister. 2023 · 2023
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Rsl-sql: Robust schema linking in text-to-sql generation
Z. Cao, Y. Zheng, Z. Fan, et al. 2024 · 2024
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Mcs-sql: Leveraging multiple prompts and multiple-choice selection for text-to-sql generation
D. Lee, C. Park, J. Kim, and H. Park. 2024 · 2024
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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, et al. 2024 · 2024
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Rasat: Integrating relational structures into pretrained seq2seq model for text-to-sql
Jiaqi Qi, Junbo Tang, Zhiwei He, et al. 2022 · 2022
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A survey on text-to-sql parsing: Concepts, methods, and future directions
B. Qin, B. Hui, L. Wang, M. Yang, J. Li, B. Li, and Y. Li. 2022 · 2022
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Evaluating the text-to-sql capabilities of large language models
N. Rajkumar, R. Li, and D. Bahdanau. 2022 · 2022
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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
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Chain-of-thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, and D. Zhou. 2022 · 2022
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Chateval: Towards better llm-based evaluators through multi-agent debate
C. M. Chan, W. Chen, Y. Su, J. Yu, W. Xue, S. Zhang, and Z. Liu. 2023 · 2023
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C3: Zero-shot text-to-sql with chatgpt
X. Dong, C. Zhang, Y. Ge, Y. Mao, Y. Gao, J. Lin, and D. Lou. 2023 · 2023
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AWQ: activation-aware weight quantization for on-device LLM compression and acceleration
Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Guangxuan Xiao, and Song Han. 2024 · 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 · 2024
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Chase-sql: Multi-path reasoning and preference optimized candidate selection in text-to-sql
M. Pourreza, H. Li, R. Sun, Y. Chung, S. Talaei, G. T. Kakkar, and S. O. Arik. 2024 · 2024
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Din-sql: Decomposed in-context learning of text-to-sql with self-correction
M. Pourreza and D. Rafiei. 2024 · 2024
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Ge Qu, Jinyang Li, Bowen Li, Bowen Qin, Nan Huo, Chenhao Ma, and Reynold Cheng. 2024 · 2024
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Reflexion: Language agents with verbal reinforcement learning
N. Shinn, F. Cassano, A. Gopinath, K. Narasimhan, and S. Yao. 2024 · 2024
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Chess: Contextual harnessing for efficient sql synthesis
S. Talaei, M. Pourreza, Y. C. Chang, A. Mirhoseini, and A. Saberi. 2024 · 2024
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Mac-sql: A multi-agent collaborative framework for text-to-sql
B. Wang, C. Ren, J. Yang, X. Liang, J. Bai, L. Chai, and Z. Li. 2024 · 2024
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Sheared llama: Accelerating language model pre-training via structured pruning
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, and Danqi Chen. 2024 · 2024
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Masks can be learned as an alternative to experts
Peiyu Liu, Tianwen Wei, Bo Zhu, Xin Zhao, and Shuicheng Yan. 2025 · 2025
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Socratic style chain-of-thoughts help llms to be a better reasoner
Jiangbo Pei, Peiyu Liu, Xin Zhao, Aidong Men, and Yang Liu. 2025 · 2025
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