Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm. This inflection point marks a shift from explicit knowledge representation to a renewed focus on the hybrid representation of both explicit knowledge and parametric knowledge. In this position paper, we will discuss some of the common debate points within the community on LLMs (parametric knowledge) and Knowledge Graphs (explicit knowledge) and speculate on opportunities and visions that the renewed focus brings, as well as related research topics and challenges.

翻译：大型语言模型（LLMs）席卷了知识表示领域乃至整个世界。这一转折点标志着从显式知识表示转向重新聚焦于显式知识与参数化知识的混合表示。在本立场论文中，我们将讨论学术界关于LLMs（参数化知识）与知识图谱（显式知识）的一些常见争议点，并展望这一重新聚焦带来的机遇与愿景，以及相关的研究课题与挑战。