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While fine-tuned large language models (LLMs) excel in generating grammatically valid SQL in Text-to-SQL parsing, they often struggle to ensure semantic accuracy in queries, leading to user confusion and diminished system usability.
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Yu, T.; Zhang, R.; Yang, K.; Yasunaga, M.; Wang, D.; Li, Z.; Ma, J.; Li, I.; Yao, Q.; Roman, S.; and Zhang, Z. 2018 · 2018
Earlier work this paper cites.
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
Guo, J.; Zhan, Z.; Gao, Y.; Xiao, Y.; Lou, J.-G.; Liu, T.; and Zhang, D. 2019 · 2019
Earlier work this paper cites.
SParC: Cross-Domain Semantic Parsing in Context
Yu, T.; Zhang, R.; Yasunaga, M.; Tan, Y. C.; Lin, X. V.; Li, S.; Er, H.; Li, I.; Pang, B.; Chen, T.; Ji, E.; and Dixit, S. 2019 · 2019
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RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
Wang, B.; Shin, R.; Liu, X.; Polozov, O.; and Richardson, M. 2020 · 2020
Earlier work this paper cites.
Semantic Evaluation for Text-to-SQL with Distilled Test Suite
Zhong, R.; Yu, T.; and Klein, D. 2020 · 2020
Earlier work this paper cites.
Structure-Grounded Pretraining for Text-to-SQL
Deng, X.; Awadallah, A. H.; Meek, C.; Polozov, O.; Sun, H.; and Richardson, M. 2021 · 2021
Earlier work this paper cites.
Towards Robustness of Text-to-SQL Models against Synonym Substitution
Gan, Y.; Chen, X.; Huang, Q.; Purver, M.; Woodward, J. R.; Xie, J.; and Huang, P. 2021 · 2021
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Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization
Gan, Y.; Chen, X.; and Purver, M. 2021 · 2021
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PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
Scholak, T.; Schucher, N.; and Bahdanau, D. 2021 · 2021
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Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect
Deng, N.; Chen, Y.; and Zhang, Y. 2022 · 2022
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S 2 SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers
Hui, B.; Geng, R.; Wang, L.; Qin, B.; Li, Y.; Li, B.; Sun, J.; and Li, Y. 2022 · 2022
Earlier work this paper cites.
A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions
Qin, B.; Hui, B.; Wang, L.; Yang, M.; Li, J.; Li, B.; Geng, R.; Cao, R.; Sun, J.; Si, L.; Huang, F.; and Li, Y. 2022 · 2022
Earlier work this paper cites.
AutoGPT: build and use AI agents
AutoGPT-Team. 2023 · 2023
Cited alongside, same era.
ASTormer: An AST Structure-aware Transformer Decoder for Text-to-SQL
Cao, R.; Zhang, H.; Xu, H.; Li, J.; Ma, D.; Chen, L.; and Yu, K. 2023 · 2023
Cited alongside, same era.
C3: Zero-shot Text-to-SQL with ChatGPT
Dong, X.; Zhang, C.; Ge, Y.; Mao, Y.; Gao, Y.; lu Chen; Lin, J.; and Lou, D. 2023 · 2023
Cited alongside, same era.
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Hong, S.; Zhuge, M.; Chen, J.; Zheng, X.; Cheng, Y.; Zhang, C.; Wang, J.; Wang, Z.; Yau, S. K. S.; Lin, Z.; and Zhou, L. 2023 · 2023
Cited alongside, same era.
LLaMA: Open and Efficient Foundation Language Models
Touvron, H.; Lavril, T.; Izacard, G.; Martinet, X.; Lachaux, M.-A.; Lacroix, T.; Rozière, B.; Goyal, N.; and Hambro, E. 2023 · 2023
Later among the works it cites.
The Rise and Potential of Large Language Model Based Agents: A Survey
Xi, Z.; Chen, W.; Guo, X.; He, W.; Ding, Y.; Hong, B.; Zhang, M.; Wang, J.; Jin, S.; Zhou, E.; Zheng, R.; and Fan, X. 2023 · 2023
Later among the works it cites.
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Zhou, D.; Schärli, N.; Hou, L.; Wei, J.; Scales, N.; Wang, X.; Schuurmans, D.; Cui, C.; Bousquet, O.; Le, Q. V.; and Chi, E. H. 2023 · 2023
Later among the works it cites.
Agent AI: Surveying the Horizons of Multimodal Interaction
Durante, Z.; Huang, Q.; Wake, N.; Gong, R.; Park, J. S.; Sarkar, B.; Taori, R.; Noda, Y.; Terzopoulos, D.; and Choi, Y. 2024 · 2024
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Huang, L.; Yu, W.; Ma, W.; Zhong, W.; Feng, Z.; Wang, H.; Chen, Q.; Peng, W.; Feng, X.; Qin, B.; and Liu, T. 2023 · 2023
Cited alongside, same era.
StructGPT: A General Framework for Large Language Model to Reason over Structured Data
Jiang, J.; Zhou, K.; Dong, Z.; Ye, K.; Zhao, X.; and Wen, J.-R. 2023 · 2023
Cited alongside, same era.
A comprehensive evaluation of ChatGPT’s zero-shot Text-to-SQL capability
Liu, A.; Hu, X.; Wen, L.; and Yu, P. S. 2023 · 2023
Cited alongside, same era.
Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
Nan, L.; Zhao, Y.; Zou, W.; Ri, N.; Tae, J.; Zhang, E.; Cohan, A.; and Radev, D. 2023 · 2023
Cited alongside, same era.
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
Pourreza, M.; and Rafiei, D. 2023 · 2023
Cited alongside, same era.
Reflexion: language agents with verbal reinforcement learning
Shinn, N.; Cassano, F.; Gopinath, A.; Narasimhan, K.; and Yao, S. 2023 · 2023
Cited alongside, same era.
Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT - A Text-to-SQL Parsing Comparison
Sun, S.; Zhang, Y.; Yan, J.; Gao, Y.; and Ong, D. 2023 · 2023
Cited alongside, same era.
Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql
Li, H.; Zhang, J.; Li, C.; and Chen, H. 2023a
Cited in the paper.
Gao, D.; Wang, H.; Li, Y.; Sun, X.; Qian, Y.; Ding, B.; and Zhou, J. 2024 · 2024
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KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph
Jiang, J.; Zhou, K.; Zhao, W. X.; Song, Y.; Zhu, C.; Zhu, H.; and Wen, J.-R. 2024 · 2024
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A Unified Debugging Approach via LLM-Based Multi-Agent Synergy
Lee, C.; Xia, C. S.; tse Huang, J.; Zhu, Z.; Zhang, L.; and Lyu, M. R. 2024 · 2024
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OpenAI; Achiam, J.; Adler, S.; Agarwal, S.; Ahmad, L.; Akkaya, I.; Aleman, F. L.; Almeida, D.; and Altenschmidt, J. 2024 · 2024
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SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)
Sun, R.; Arik, S. Ö.; Muzio, A.; Miculicich, L.; Gundabathula, S.; Yin, P.; Dai, H.; Nakhost, H.; and Sinha, R. 2024 · 2024
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Gemini: A Family of Highly Capable Multimodal Models
Team, G.; Anil, R.; Borgeaud, S.; Alayrac, J.-B.; Yu, J.; Soricut, R.; Schalkwyk, J.; Dai, A. M.; Hauth, A.; and Millican, K. 2024 · 2024
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Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm
Xie, Y.; Jin, X.; Xie, T.; Lin, M.; Chen, L.; Yu, C.; Cheng, L.; Zhuo, C.; Hu, B.; and Li, Z. 2024 · 2024
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