AI RESEARCH
AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views
arXiv CS.AI
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ArXi:2604.07041v1 Announce Type: cross Text-to-SQL is the task of translating natural language queries into executable SQL for a given database, enabling non-expert users to access structured data without writing SQL manually. Despite rapid advances driven by large language models (LLMs), existing approaches still struggle with complex queries in real-world settings, where database schemas are large and questions require multi-step reasoning over many interrelated tables.