Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension

Yanbo Fang, Ruixiang Tang

Understanding how large language models (LLMs) acquire, retain, and apply knowledge remains an open challenge. This paper introduces a novel framework, K-(CSA)^2, which categorizes…