26 citations · 32 across the 9 of their papers we have counts for
13 papers
REAP: Relation-Aware Elicitation and Parsing for Closed-Book Knowledge Base Construction from LLMs
Thanh-Dan Bui, Thanh-Trung Do, Tuan-Phong Nguyen
We present the REAP system for the AKBC Shared Task 2026 on constructing knowledge bases from language models in a closed-book setting, subject to a budget of at most 32B parameter…
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…
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…
Auditing a KB Elicitation of Frontier LLM Knowledge: A Multi-dimensional Analysis of GPTKB v1.5
Shrestha Ghosh, Luca Giordano, Yujia Hu +2
LLMs are remarkable artifacts that have revolutionized a range of knowledge-intensive tasks. A significant contributor is their factual knowledge, which, to date, remains poorly un…
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…
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…