Unifying Large Language Models and Knowledge Graphs: A Roadmap - 统一大型语言模型和知识图谱:一份路线图 摘要 大型语言模型(LLMs),如ChatGPT和GPT4,由于其新兴的能力和通用性,正在自然语言处理和人工智能领域掀起新的浪潮。然而,LLMs是黑盒模型,往往无法捕捉和访问事实知识。相比之下,知识图谱(KGs),例如维基...
知识图谱与大模型结合方法概述 《Unifying Large Language Models and Knowledge Graphs: A Roadmap》总结了大语言模型和知识图谱融合的三种路线:1)KG增强的LLM,可在LLMs的预训练和推理阶段引入KGs;2)LLM增强KG,LLM可用于KG构建、KG embedding、KG补全、基于KG的文本生成、KBQA(基于图谱的问答)等多种场景;3)LLM+K...
A collection of papers and resources about unifying large language models (LLMs) and knowledge graphs (KGs). Large language models (LLMs) have achieved remarkable success and generalizability in various applications. However, they often fall short of capturing and accessing factual knowledge. Knowledge...
Technology practitioners have said that a new opportunity has emerged to explore multimodality through a unified architecture, eliminating the need to combine complex diffusion models with large language models (LLMs). "In the future, the multimodal world model will promote scenario applications such as...
In this paper, we introduce Uni3D-LLM, a unified framework that leverages a Large Language Model (LLM) to integrate tasks of 3D perception, generation, and editing within point cloud scenes. This framework empowers users to effortlessly generate and modify objects at specified locations within a...
“Intelligence” should be understood as the ability to modify behavior in response to changing circumstances. Current AI engines – what are called “large language models” – have only one method of exploring reality. They trawl through the world-wide web and find patterns in its content. The...
We asked Aref for his thoughts on the role of large language models in addressing these challenges. His response explores the intersection of LLMs and knowledge graphs in the context of building semantic layers. He elaborates on the synergy between these technologies in simplifying and enhancing da...
27 Localized Patterns in Population Models with the Large Biased Movement and Stron 55:05 Infinite Systems of Linear Equations 49:58 Fluctuations in the distribution of Frobenius automorphisms in number field exte 56:12 Filtrations, Mild groups and Arithmetic in an Equivariant context 50:55 Dynamics...
KG+LLM的开端:《Unifying Large Language Models and Knowledge Graphs: A Roadmap》 霜降 12 人赞同了该文章 目录 收起 KG增强LLM的预训练 将知识图谱集成到训练目标中 将KG集成到LLM的输入 通过附加融合模块集成KGs KG增强LLM的推理 动态知识融合 检索增强的知识融合 KG增强LLM的可解释性 KG用于对LLM进行...