Tuan-Phong Nguyen — accepted AI-conference papers

2026

GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge

Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh, Moritz Müller, Simon Razniewski

AAAI 2026technical

Language models are powerful artifacts, yet their factual knowledge is still poorly understood, and inaccessible to ad-hoc browsing and scalable statistical analysis. This demonstration introduces GPTKB v1.5, a densely interlinked 100-million-triple knowledge base (KB) built for $14,000 from GPT-4.1

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2025

Enabling LLM Knowledge Analysis via Extensive Materialization

Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh, Simon Razniewski

ACL 2025long

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 factual knowledge. Since (Petroni et al., 2019), analyzing this knowledge has gained attention. However, most approaches…

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