Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)

While large language models (LLMs) have demonstrated strong capability in structured prediction tasks such as semantic parsing, few amounts of research explored the underlying mechanisms their success. Our work studies different methods for explaining an LLM-based parser and qualitatively discusses explained model behaviors, hoping to inspire future toward better understanding them.