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We present ReFoRCE, a Text-to-SQL agent that tops the Spider 2.0 leaderboard--a challenging benchmark reflecting complex, real-world Text-to-SQL scenarios.
Learning to parse database queries using inductive logic programming
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Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers
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CRUSH4SQL: Collective retrieval using schema hallucination for Text2SQL
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Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql
Haoyang Li, Jing Zhang, Cuiping Li, and Hong Chen · 2023
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Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models
Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, and Ee-Peng Lim · 2023
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Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang · 2023
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Text-to-sql calibration: No need to ask – just rescale model probabilities, 2024
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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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Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 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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Agentless: Demystifying llm-based software engineering agents
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Flowmind: automatic workflow generation with llms
Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, and Manuela Veloso · 2023
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Act-sql: In-context learning for text-to-sql with automatically-generated chain-of-thought
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Coder: Issue resolving with multi-agent and task graphs
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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
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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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Din-sql: Decomposed in-context learning of text-to-sql with self-correction
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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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Text-to-sql empowered by large language models: A benchmark evaluation
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Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, and Lingming Zhang · 2024
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Omnisql: Synthesizing high-quality text-to-sql data at scale
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