Web Science and Digital Libraries Research Group

Comparison of the pros and cons of a Large Language Model and a Knowledge Graph and how they compliment each other when integrated ( Pan et al. ) In my previous blog post,  ALICE - AI Leveraged Information Capture and Exploration ,  I propose a system for archiving and storing routinely lost data using presentation slide decks as the primary use-case. This project serves as an exploratory test environment for merging structured data models to Large Language Models (LLMS) for research into injecting uncertainty quantification and auditing for hallucinations in LLMS. In  "Unifying Large Language Models and Knowledge Graphs: A Roadmap" by Shirui Pan et al. , published in the 2024 IEEE Transactions on Knowledge and Data Engineering (TKDE) journal, the authors present a notional framework to explore the integration of LLMs like GPT-4 with Knowledge Graphs (KGs). In the following sections, I will step through the authors' analysis and main contributions. We'll explore how ...