@article{chung2025long, title={Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL}, author={Chung, Yeounoh and Kakkar, Gaurav T and Gan, Yu and Milne, Brenton and Ozcan, Fatma} ...
(The concept behind this version is to parse keywords from the user's question using an LLM, query the system's relevant dictionary tables based on those keywords, and attempt to guess the user's ...
Abstract: Relying on simple rule matching methods can only mechanically transform simple semantics, resulting in low NL2SQL generation efficiency. This paper studies NL2SQL generation technology for ...
Abstract: Parsing Natural Language to SQL (NL2SQL) helps users who are not proficient in databases to efficiently query desired data through natural language. Although existing NL2SQL parsers ...
*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as definitive, used to guide development decisions, or treated as ...
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