Conflicts Make Large Reasoning Models Vulnerable to Attacks
Honghao Liu · Chengjin Xu · Xuhui Jiang · Cehao Yang · Shengming Yin · Zhengwu Ma · Lionel Ni · Jian Guo
摘要
Large Reasoning Models (LRMs) have achieved remarkable performance across diverse domains, yet their decision-making under conflicting objectives remains insufficiently understood. This work investigates how LRMs respond to harmful queries when confronted with two categories of conflicts: interna...