papersTODAY 04:00 UTC
Paper Proposes LLM Routing to Optimize Text-to-SQL Generation
A new arXiv preprint describes a method that routes text-to-SQL requests between different large language models rather than relying on a single model. The approach aims to keep accuracy on complex database queries while cutting the latency and cost that come from always using the most capable model. The authors frame the work as a way to balance performance against efficiency in natural-language database access.