2025
Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them
EMNLP 2025
Large language models (LLMs) have been able to perform various forms of reasoning tasks ina wide range of scenarios, but are they truly engaging in task abstraction and rule-based reasoning beyond mere memorization? To answer this question, we propose a novel experimentalapproach, Misleading Fine-Tu