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Learning to Retrieve: Dual-Level Long-Term Memory for Text-to-SQL Agents
Interactive text-to-SQL agents solve database tasks through multi-turn interactions involving schema exploration, query execution, feedback interpretation, and decision revision. Long-term memory helps agents reuse past experiences, but existing retrieval methods remain limited. Static methods use f
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