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UNC Chapel Hill, School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230026, China, Center for Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE), Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu, 215123, China, National Key Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu, 610097, China, Soochow University. Correspond to: mengfanqing33@gmail.com
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Pixel-space diffusion models get a serious boost: V-Co reveals a simple recipe for visual co-denoising that outperforms existing methods on ImageNet-256 with fewer training epochs.
Achieve state-of-the-art video reasoning by using visual prompting during training to guide reinforcement learning, then distilling this ability into a model that performs grounded reasoning on raw videos without prompts at inference time.
Open-source code agents like OpenClaw are sitting ducks for shell command attacks, but a simple human-in-the-loop intervention can dramatically boost their security.
MCP-based AI systems are alarmingly vulnerable to caller identity confusion, allowing unauthorized access to sensitive tools and operations after just one initial authorization.
