arXiv AI September 17, 2026 By Karime Maamari, Fadhil Abubaker, Daniel Jaroslawicz, Amine Mhedhbi

The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models

The paper examines the role of schema linking in Text-to-SQL systems and finds that recent large language models can effectively use relevant schema elements even when many irrelevant ones are present. Consequently, the authors eliminate schema linking when the entire schema fits within the model’s context window, instead employing augmentation, selection, and correction techniques to enhance accuracy. Their approach achieves first place on the BIRD benchmark with a 71.83% accuracy.

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Related stories

CHS-SQL: A Text-to-SQL approach based on Confidence-Guided Heuristic Search Schema Linking process

Database Context Compression for Text-to-SQL on Real-World Large Databases

SchemaRAG: Dynamic Large Schema Reduction for LLM-driven Structured Information Extraction

Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB

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APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL