Sehyun Kim

Leveraging LLM-Generated Schema Descriptions for Unanswerable Question Detection in Clinical Data

Recent advancements in large language models (LLMs) have boosted research on generating SQL queries from domain-specific questions, particularly in the medical domain. A key challenge is detecting and filtering unanswerable questions. Existing methods often relying on model uncertainty, but these re…