Papers by Shrestha Ghosh
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. |