Erroneous processing heads in attention layers cause hop-generalization failures in LLMs; dynamically deactivating them at test time improves multi-step reasoning.
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Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models
Erroneous processing heads in attention layers cause hop-generalization failures in LLMs; dynamically deactivating them at test time improves multi-step reasoning.