Yingjie Wang

In this paper, we investigate knowledge forgetting in large language models with a focus on its generalisation—ensuring that models forget not only specific training samples but also related implicit knowledge. To this end, we begin by identifying a broader unlearning scope that includes both tar...

Large language models (LLMs) have achieved remarkable performance across a wide range of natural language processing (NLP) tasks. However, they remain susceptible to backdoor attacks, where adversaries embed hidden triggers in the input to induce malicious, attacker-specified behaviors. While exi...