The accuracy gap between fast and slow thinking is proposed as a measure of reasoning contribution, and is used to show that reasoning is domain-specific, scaling mainly reduces overthinking, and knowledge and reasoning separate across network layers.
Bert: Pre-training of deep bidirectional transformers for language understanding,
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Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory
The accuracy gap between fast and slow thinking is proposed as a measure of reasoning contribution, and is used to show that reasoning is domain-specific, scaling mainly reduces overthinking, and knowledge and reasoning separate across network layers.