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cs.CV2024
GIRAFFE: Design Choices for Extending the Context Length of Visual Language Models
Mukai Li, Lei Li, Shansan Gong +1
Visual Language Models (VLMs) demonstrate impressive capabilities in processing multimodal inputs, yet applications such as visual agents, which require handling multiple images an…
cs.CV2024
ImgTrojan: Jailbreaking Vision-Language Models with ONE Image
Xijia Tao, Shuai Zhong, Lei Li +2
There has been an increasing interest in the alignment of large language models (LLMs) with human values. However, the safety issues of their integration with a vision module, or v…