Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs

ArXi:2604.15780v1 Announce Type: new Machine learning models are increasingly deployed in real-world applications, but even aligned models such as Mistral and LLaVA still exhibit unsafe behaviors inherited from pre-