Towards Unveiling Vulnerabilities of Large Reasoning Models in Machine Unlearning

ArXi:2604.04255v1 Announce Type: new Large language models (LLMs) possess strong semantic understanding, driving significant progress in data mining applications. This is further enhanced by large reasoning models (LRMs), which provide explicit multi-step reasoning traces. On the other hand, the growing need for the right to be forgotten has driven the development of machine unlearning techniques, which aim to eliminate the influence of specific data from trained models without full re