Logo PEBench

A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models

Zhaopan Xu, Pengfei Zhou, Weidong Tang, Jiaxin Ai, Wangbo Zhao, Xiaojiang Peng, Kai Wang
Yang You, Wenqi Shao, Hongxun Yao†, Kaipeng Zhang†

†Corresponding Author: zhangkaipeng@pjlab.org.cn
data_construction

🌈 we introduce PEBench, a comprehensive benchmark for evaluating machine unlearning in MLLMs, focusing on both personal entities and event scenes to provide a holistic assessment of unlearning efficacy and scope.

🔔News

✨[03/16/2025] We release our paper and project page. The data and codes will be openly available soon!

BibTeX


@article{xu2025pebench,
  title={PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models},
  author={Zhaopan Xu, Pengfei Zhou, Weidong Tang, Jiaxin Ai, Wangbo Zhao, Xiaojiang Peng, Kai Wang, Yang You, Wenqi Shao, Hongxun Yao, Kaipeng Zhang},
  journal={arXiv preprint arXiv:2503.12545},
  year={2025}
}