Taketomo Isazawa

KBLaM: Knowledge Base augmented Language Model

In this paper, we propose Knowledge Base augmented Language Model (KBLAM), a new method for augmenting Large Language Models (LLMs) with external knowledge. KBLAM works with a knowledge base (KB) constructed from a corpus of documents, transforming each piece of knowledge in the KB into continuous k…