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cs.CV2026
Vis-Poison: Poisoning Visual Knowledge in Multimodal Retrieval-Augmented Generation
Rujin Liang, Zhongpu Chen, Yuhao Lei +1
While multimodal retrieval-augmented generation (RAG) systems increasingly rely on images as external knowledge sources, the introduction of poisoned visual evidence can severely c…
cs.CV2026
SwiftVLM: Efficient Vision-Language Model Inference via Cross-Layer Token Bypass
Chen Qian, Xinran Yu, Danyang Li +4
Visual token pruning is a promising approach for reducing the computational cost of vision-language models (VLMs), and existing methods often rely on early pruning decisions to imp…