Robust Knowledge Extraction from Large Language Models
Large-language models (LLMs) have the potential to support a wide range of applications. However, they are ill-suited for query answering in high-stake domains like medicine because they generate answers at random and their answers are typically not robust - even the same query can result in different answers when prompted multiple times.
