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,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.DB 2years
2026 2representative citing papers
Query-driven table integration that uses Steiner-tree search to choose which joins LLMs must verify, reporting 30%+ accuracy gains at 5x lower LLM cost.
citing papers explorer
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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.
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EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries
Query-driven table integration that uses Steiner-tree search to choose which joins LLMs must verify, reporting 30%+ accuracy gains at 5x lower LLM cost.