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cs.CV2024
Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding
Yixiong Fang, Ziran Yang, Zhaorun Chen +2
Large vision-language models (LVLMs) excel at multimodal tasks but are prone to misinterpreting visual inputs, often resulting in hallucinations and unreliable outputs. We present…
cs.CV2024
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset
Josef Dai, Tianle Chen, Xuyao Wang +4
To mitigate the risk of harmful outputs from large vision models (LVMs), we introduce the SafeSora dataset to promote research on aligning text-to-video generation with human value…