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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Xiaoshan Yang

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Open access Sep 2026

CMJU: cross-modal joint unlearning for balanced forgetting in multimodal large language models

Cross-modal joint unlearning (CMJU) is proposed, a unified framework for balanced cross-modal forgetting that achieves better cross-modal forgetting balance than strong baselines, while maintaining competitive retain-set performance.

Di-Hang Yang, Bao-Chen Xiong, Xiaoshan Yang · 0 citations
Jul 2026

VTM-Nav: Harnessing Cross-Episode Experience for Object-Goal Navigation with Hierarchical Visual-Topological Memory

VTM-Nav re-localizes the agent in accumulated scene structure, retrieves target-relevant records from plausible rooms, and grounds memory guidance in candidates derived from the current observation, demonstrating effective reuse of cross-episode scene experience through hierarchical visual-topological memory.

Xiaoran Xu, Yupeng Wu, Tianyue Xue et al. · 0 citations

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