Shubhashis Roy Dipta

Text2SQL systems promise to democratize access to enterprise data but often fail to handle the complexity of real-world database queries, even if they perform well on test datasets. We found that Reinforcement Learning from Human Feedback (RLHF) is a viable approach for active learning from incorrect production queries to improve Text2SQL accuracy.

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