ICCU: In-Context Continual Unlearning via Pattern-Induced Refusal Rules 事件

ICCU: In-Context Continual Unlearning via Pattern-Induced Refusal Rules arXiv:2605.27138v1 Announce Type: new Abstract: Machine unlearning aims to remove the influence of specific data from trained language models. In real-world deployments, unlearning requests often arrive sequentially, which challenges existing fine-tuning-based methods: fine-tuning each request is costly, accumulates utility loss, and may cause cross-request interference. To address these issues, we propose ICCU (In-Context