Clippers 2/14: Shuaichen Chang on Selective Demonstration for Text-to-SQL

Abstract: Large language models (LLMs) have shown a strong generalization capability in the cross-domain text-to-SQL task without using in-domain examples. However, with a few in-domain annotations as demonstration examples, LLMs’ performance can be further improved. In this work, we first investigate the crucial elements of in-domain examples. Based on our findings, we propose to create demonstration examples with minimal in-domain annotation to improve the generalization ability of LLMs.