Papers by Tuan-Phong Nguyen
Enabling LLM Knowledge Analysis via Extensive Materialization (2025.acl-long)
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| Challenge: | Large language models (LLMs) have majorly advanced NLP and AI, and a major success factor is their internalized factual knowledge. |
| Approach: | They propose a method to comprehensively materialize an LLM’s factual knowledge through recursive querying and result consolidation. |
| Outcome: | The proposed method provides constructive insights into the scope and structure of LLM knowledge (or beliefs) it provides scale, accuracy, bias, cutoff and consistency at the same time. |
Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering (2021.acl-demo)
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| Challenge: | Structured knowledge bases (KBs) are a great way to explain and interpret outputs of systems leveraging the resources. |
| Approach: | They propose a web portal that allows users to understand its construction process and explore its content. |
| Outcome: | The proposed framework allows users to understand its construction process, explore its content, and observe its impact in the use case of question answering. |