Measuring and Modifying Factual Knowledge in Large Language Models
We introduced new metrics to measure factual knowledge in LLMs, addressing the limitations of existing ranking-based methods. Our metrics outperformed traditional ranking-based approaches, providing more accurate assessments of LLMs’ factual knowledge. We also explored the difference between implicit and explicit knowledge instillation in LLMs, highlighting that explicit knowledge instillation alone is insufficient in cases related to location and language queries.