Browsing: methods

Knowledge editing has emerged as a promising approach that leverages understanding of a model’s inner knowledge mechanisms to enable precise knowledge updates and behaviour control without costly retraining. It is particularly appealing for enabling continuous knowledge adaptation, a capability essential for building truly intelligent, self-evolving AI systems. However, current methods treat large language models as…