AMNESIA: A Large Scale Medical Unlearning Benchmark Suite with Disease-Informed Analysis 事件

AMNESIA: A Large Scale Medical Unlearning Benchmark Suite with Disease-Informed Analysis arXiv:2605.30599v1 Announce Type: cross Abstract: Medical knowledge is continuously evolving. This creates a need to update or selectively forget information encoded in already-trained medical LLMs. Machine unlearning aims to remove the influence of specific training data from a model without full retraining. Yet, existing unlearning benchmarks rely on synthetic or small-scale general data, leaving clinical