3 papers
cs.CV2026
Robust MLLM Unlearning via Visual Knowledge Distillation
Yuhang Wang, Zhenxing Niu, Haoxuan Ji +3
Recently, machine unlearning approaches have been proposed to remove sensitive information from well-trained large models. However, most existing methods are tailored for LLMs, whi…
cs.RO2025
Expand Your SCOPE: Semantic Cognition over Potential-Based Exploration for Embodied Visual Navigation
Ningnan Wang, Weihuang Chen, Liming Chen +4
Embodied visual navigation remains a challenging task, as agents must explore unknown environments with limited knowledge. Existing zero-shot studies have shown that incorporating…
cs.LG2025
Towards Aligned Data Forgetting via Twin Machine Unlearning
Zhenxing Niu, Haoxuan Ji, Yuyao Sun +4
Modern privacy regulations have spurred the evolution of machine unlearning, a technique enabling a trained model to efficiently forget specific training data. In prior unlearning…