2026
BRIDGING THE GAP: TRANSFORMING NATURAL LANGUAGE QUESTIONS INTO SQL QUERIES VIA ABSTRACT QUERY PATTERN AND CONTEXTUAL SCHEMA MARKUP
ICASSP 2026poster
Large language models have demonstrated excellent performance in many tasks, including Text-to-SQL, due to their powerful in-context learning capabilities. They are becoming the mainstream approach for Text-to-SQL. However, these methods still have a significant gap compared to human performance, es…