Author

Zijie Liu

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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

#machine learning Preprint Sep 2026

When Retain Constraints Conflict: Mitigating Forget-Retain Interference in Tabular Data

Machine unlearning aims to remove the influence of designated training data while preserving model utility, but its behavior on tabular data remains underexplored. This gap is important because tabular prediction is widely used in high-stakes domains and is increasingly adapted to language models through record seriali...

Zijie Liu, Jinhao Duan, Bing-Qi Shang et al. · 0 citations