Structure Guided Large Language Model for SQL Generation

arXiv:2402.13284v1 Announce Type: cross
Abstract: Generating accurate Structured Querying Language (SQL) is a long-standing problem, especially in matching users' semantic queries with structured databases and then generating structured SQL. Existing models typically input queries and database schemas into the LLM and rely on the LLM to perform semantic-structure matching and generate structured SQL. However, such solutions overlook the structural information within user queries and databases, which can be utilized to enhance the generation of structured SQL. This oversight can lead …

abstract arxiv cs.ai cs.cl cs.db database databases generate language language model large language large language model llm queries semantic sql sql generation type