Selective Demonstrations for Cross-domain Text-to-SQL
Shuaichen Chang,
Eric Fosler-Lussier
Abstract:Large language models (LLMs) with in-context learning have demonstrated impressive generalization capabilities in the cross-domain textto-SQL task, without the use of in-domain annotations. However, incorporating in-domain demonstration examples has been found to greatly enhance LLMs' performance. In this paper, we delve into the key factors within in-domain examples that contribute to the improvement and explore whether we can harness these benefits without relying on in-domain annotations. Based on our findi… Show more
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