Improving LLM Interpretability with Structured Knowledge Discovery

This ArXiv paper explores methods to enhance the interpretability of language model generation. The approach likely focuses on structuring knowledge to provide insights into LLM decision-making processes, a critical area for trust and application of AI.

• •Focuses on improving the interpretability of language model generation.
• •Utilizes a structured knowledge discovery approach.
• •Aims to shed light on LLM decision making.