2024
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models
EMNLP 2024finding
Pretrained language models memorize vast amounts of information, including private and copyrighted data, raising significant safety concerns. Retraining these models after excluding sensitive data is prohibitively expensive, making machine unlearning a viable, cost-effective alternative. Previous re…