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DualSQL: Text-to-SQL with Multi-Agent Reinforcement Learning

Chen, Shijie et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagedatabases
State-of-the-art Text-to-SQL systems are typically multi-agent pipelines centered around two fundamental tasks: schema linking and SQL generation. However, existing work trains separate models for each task, failing to leverage the synergy between these interrelated tasks. In this work, we propose D
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