DBCC applies SGCF-based offline compression and online purification to shrink database context by up to 100x while raising schema recall and execution accuracy 1.8-1.9% on Spider 2.0 and BIRD.
ACT-SQL: In-context learning for text-to-SQL with automatically-generated chain-of-thought,
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Database Context Compression for Text-to-SQL on Real-World Large Databases
DBCC applies SGCF-based offline compression and online purification to shrink database context by up to 100x while raising schema recall and execution accuracy 1.8-1.9% on Spider 2.0 and BIRD.