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Di-Hang Yang

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Open access Sep 2026

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

Multimodal large language models (MLLMs) may memorize private or sensitive knowledge from training data, making unlearning important for safe deployment. Existing studies have shown that unlearning in MLLMs can remain inconsistent across multimodal and text-only inputs: target knowledge that has been forgotten through...

Di-Hang Yang, Baochen Xiong, Xiaoshan Yang · 0 citations
#natural language process... Preprint Sep 2026

CreaMem: A Scene-Aware Memory Architecture for Personalized Agents

Long-term memory is a core capability for personalized LLM agents. To support it, existing memory systems organize information using various criteria such as topic segments or summary hierarchies. However, we identify two major limitations in these designs. First, they lack scene awareness: memories from unrelated life...

Qi-Xuan Sun, Yue Que, Bowei He et al. · 0 citations

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