Author

Tianlong Chen

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Jul 2026

Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning

The proposed Stochastic Meta-Unlearning (SMU), a bilevel framework that uses VLM-level feedback to learn an unlearning-ready initialization, suggests that VLM-level feedback can make language-backbone unlearning more reliable and more transferable for VLMs.

Zijie Liu, Jinhao Duan, Gaowen Liu et al. · arXiv.org · 0 citations