5 papers
GPTKB 2.0: Browsing, Querying, and Auditing a Disambiguated LLM-Derived Knowledge Base
Yujia Hu, Tuan-Phong Nguyen, Simon Razniewski
We present a web demo for exploring a large-scale disambiguated knowledge base (KB) materialized from a large language model (LLM). GPTKB 2.0 contains 38.4M triples over 1.6M canon…
GPTKB 2.0: Direct Construction of Disambiguated Knowledge Bases from Large Language Models
Yujia Hu, Tuan-Phong Nguyen, Simon Razniewski
Automated Knowledge Base Construction (AKBC) is a core NLP task, and recent work proposes generating knowledge bases directly from large language models (LLMs), treating the model…
GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge
Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh +2
Language models are powerful artifacts, yet their factual knowledge is still poorly understood, and inaccessible to ad-hoc browsing and scalable statistical analysis. This demonstr…
Mining the Mind: What 100M Beliefs Reveal About Frontier LLM Knowledge
Shrestha Ghosh, Luca Giordano, Yujia Hu +2
LLMs are remarkable artifacts that have revolutionized a range of NLP and AI tasks. A significant contributor is their factual knowledge, which, to date, remains poorly understood,…
Enabling LLM Knowledge Analysis via Extensive Materialization
Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh +1
Large language models (LLMs) have majorly advanced NLP and AI, and next to their ability to perform a wide range of procedural tasks, a major success factor is their internalized f…