Author

Qihe Liu

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#natural language process... Preprint Oct 2026

Not Every Change Is Necessary: Recoverable Drift in Large Language Model Unlearning

Machine unlearning in large language models aims to remove unwanted knowledge while preserving the model's remaining capabilities. Although existing methods use retention objectives or restrict where edits occur, achieving the desired forgetting level can still leave collateral changes that impair non-target behavior....

Xun-Lei Chen, Qing Gong, Jing-Kun Xue et al. · 0 citations

2025

Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning

An innovative approach to robustness in continual learning systems is introduced, the Dynamic Siamese Expansion Framework (DSEF) that employs a Siamese backbone architecture, comprising static and dynamic components, to facilitate the learning of both global and local representations over time.

Fei Ye, Yulong Zhao, Qihe Liu et al. · Neural Information Processin... · 3 citations