Mehrdad Fazli

Making Sense of LLM Decisions: A Prototype-based Framework for Explainable Classification

Large language models have demonstrated impressive performance on natural language tasks, but their decision-making processes remain opaque. Existing explanation methods either suffer from limited faithfulness to the model