4 papers
ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models
Jiahui Guang, Haiyan Wang, Yingjie Zhu +4
Multimodal large language models (MLLMs) may memorize sensitive cross-modal information during pretraining, making machine unlearning (MU) crucial. Existing methods typically evalu…
Maximum Edge-based Quasi-Clique: Novel Iterative Frameworks
Hongbo Xia, Shengxin Liu, Zhaoquan Gu
Extracting cohesive subgraphs from complex networks is a fundamental task in graph analytics and is essential for understanding biological, social, and web graphs. The edge-based $…
Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification
Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua +4
Person re-identification (ReID) is a fundamental task in many real-world applications such as pedestrian trajectory tracking. However, advanced deep learning-based ReID models are…
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph
Xujian Liang, Zhaoquan Gu
Graph Retrieval Augmented Generation (GRAG) is a novel paradigm that takes the naive RAG system a step further by integrating graph information, such as knowledge graph (KGs), into…