Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
Vision Language Models (VLMs) demonstrate remarkable proficiency in addressing a wide
array of visual questions, which requires strong perception and reasoning faculties …
array of visual questions, which requires strong perception and reasoning faculties …
Evaluating ChatGPT-4 Vision on Brazil's National Undergraduate Computer Science Exam
NC Mendonça - ACM Transactions on Computing Education, 2024 - dl.acm.org
The recent integration of visual capabilities into Large Language Models (LLMs) has the
potential to play a pivotal role in science and technology education, where visual elements …
potential to play a pivotal role in science and technology education, where visual elements …
What is the Visual Cognition Gap between Humans and Multimodal LLMs?
Recently, Multimodal Large Language Models (MLLMs) have shown great promise in
language-guided perceptual tasks such as recognition, segmentation, and object detection …
language-guided perceptual tasks such as recognition, segmentation, and object detection …
Image-to-Text Logic Jailbreak: Your Imagination can Help You Do Anything
X Zou, Y Chen - arXiv preprint arXiv:2407.02534, 2024 - arxiv.org
Large Visual Language Models (VLMs) such as GPT-4 have achieved remarkable success
in generating comprehensive and nuanced responses, surpassing the capabilities of large …
in generating comprehensive and nuanced responses, surpassing the capabilities of large …