AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views
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. In such cases, providing the full schema often exceeds the context window, while one-shot generation frequently produces non-executable SQL due to syntax errors and incorrect schema linking. To address these challenges, we introduce AV-SQL, a framework that d...
| Authors | Minh Tam Pham, Trinh Pham, Tong Chen et al. |
|---|---|
| Primary category | cs.DB |
| Published | 8 April 2026 |
| Last updated at source | 8 April 2026 |
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