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Found 3 papers, 1 papers with code
PURPLE: Making a Large Language Model a Better SQL Writer
LLMs can learn to organize operator compositions from the input demonstrations for the given task.
Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translation
While these translation models have greatly improved the overall translation accuracy, surpassing 70% on NLIDB benchmarks, the use of auto-regressive decoding to generate single SQL queries may result in sub-optimal outputs, potentially leading to erroneous translations.
Entity Suggestion by Example using a Conceptual Taxonomy
This paper provides a query processing method based on the relevance models between entity sets and concepts.
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