MUSE

The MUSE dataset/benchmark is used to evaluate the performance of machine unlearning methods in the context of large language models, focusing on their ability to handle heterogeneous unlearning requests while maintaining model utility.

Papers using MUSE (1)

Hierarchical Federated Unlearning for Large Language Models2025