Semantic Parsing

Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text
This work introduces semantic captioning for SQL queries, addressing the reverse operation of semantic parsing by translating SQL code into natural language explanations. Using graph-aware few-shot in-context learning with smaller LLMs, our approach outperforms random selection by up to 39% on BLEU score, providing crucial capabilities for understanding and explaining LLM-generated SQL code in security-critical applications.
Ali Al-Lawati, Jason Lucas, Prasenjit Mitra
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Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text