7 citations · 24 across the 8 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CL2024
RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting
Yilei Jiang, Yingshui Tan, Xiangyu Yue
While Multimodal Large Language Models (MLLMs) have made remarkable progress in vision-language reasoning, they are also more susceptible to producing harmful content compared to m…
cs.CV2024
Safety Alignment for Vision Language Models
Zhendong Liu, Yuanbi Nie, Yingshui Tan +5
Benefiting from the powerful capabilities of Large Language Models (LLMs), pre-trained visual encoder models connected to an LLMs can realize Vision Language Models (VLMs). However…