Towards Optimizing SQL Generation via LLM Routing
This paper introduces the first LLM routing approach for Text-to-SQL, which dynamically selects the most cost-effective LLM capable of generating accurate SQL for each query.
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This paper introduces the first LLM routing approach for Text-to-SQL, which dynamically selects the most cost-effective LLM capable of generating accurate SQL for each query.
SQLMorph's query mutation and fine-grained metrics support debugging and better align Text-to-SQL evaluation practices with real-world deployments, and introduces a family of execution-level metrics that address the limitations of current binary measures.
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