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cs.CV2024
Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination
Haojie Zheng, Tianyang Xu, Hanchi Sun +3
Multimodal large language models (MLLMs) have advanced the integration of visual and linguistic modalities, establishing themselves as the dominant paradigm for visual-language tas…
cs.CV2024
Rethinking and Red-Teaming Protective Perturbation in Personalized Diffusion Models
Yixin Liu, Ruoxi Chen, Xun Chen +1
Personalized diffusion models (PDMs) have become prominent for adapting pre-trained text-to-image models to generate images of specific subjects using minimal training data. Howeve…