Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

arXiv:2308.10168v2 Announce Type: replace
Abstract: Since the recent prosperity of Large Language Models (LLMs), there have been interleaved discussions regarding how to reduce hallucinations from LLM responses, how to increase the factuality of LLMs, and whether Knowledge Graphs (KGs), which store the world knowledge in a symbolic form, will be replaced with LLMs. In this paper, we try to answer these questions from a new angle: How knowledgeable are LLMs?
To answer this question, we constructed Head-to-Tail, a benchmark that …

abstract arxiv cs.cl discussions graphs hallucinations head knowledge knowledge graphs language language models large language large language models llm llms reduce responses store type will world