Yash Chandarana

Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies

While large language models (LLMs) achieve strong performance on text-to-SQL parsing, they sometimes exhibit unexpected failures in which they are confidently incorrect. Building trustworthy text-to-SQL systems thus requires eliciting reliable uncertainty measures from the LLM. In this paper, we stu