AI RESEARCH
An Agentic System for Schema Aware NL2SQL Generation
arXiv CS.CL
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ArXi:2603.18018v1 Announce Type: new The natural language to SQL (NL2SQL) task plays a pivotal role in cratizing data access by enabling non-expert users to interact with relational databases through intuitive language. While recent frameworks have enhanced translation accuracy via task specialization, their reliance on Large Language Models (LLMs) raises significant concerns regarding computational overhead, data privacy, and real-world deployability in resource-constrained environments.