2026
Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping
ICLR 2026poster
Large language models (LLMs) often exhibit flawed reasoning ability that undermines reliability. Existing approaches to improving reasoning typically treat it as a general and monolithic skill, applying broad training that is inefficient and unable to target specific reasoning errors. We introduce R…