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LLaVA-OV-2's codec-stream tokenization lets it crush existing video-language models, especially in tasks requiring fine-grained temporal understanding of high-frequency motion.
By dynamically focusing on pathological regions and incorporating retinal anatomical knowledge, this glaucoma screening framework achieves state-of-the-art accuracy and robustness across diverse clinical datasets.
GPT-5 isn't always the smartest student: Qwen-Plus outshines it in Chinese CS certification exams, revealing critical cross-lingual performance gaps in LLMs.
