AI RESEARCH
MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training
arXiv CS.LG
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ArXi:2510.12831v3 Announce Type: replace-cross Multi-turn Text-to-SQL aims to translate a user's conversational utterances into executable SQL while preserving dialogue coherence and grounding to the target schema. However, most existing systems only regard this task as a simple text translation task and follow a short-horizon paradigm, generating a query per turn without execution, explicit verification, and refinement, which leads to non-executable or incoherent outputs. We present MTSQL-R1, an agentic