AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Reinforcement learning with verifiable rewards (RLVR) improves vision-language benchmark scores even without visual information during training. With images at test, blind-trained models recover roughly half of the real-image gain at 3B and nearly four fifths at 7B. Prolonged real-image training can erode grounding whi...
Results demonstrate that EEGAgentBench effectively distinguishes agent capabilities beyond model scale and inference cost, while revealing substantial limitations of current LLM agents in long-horizon EEG analysis, particularly in sustained evidence accumulation and multi-step reasoning.
FLASHand is proposed, the first feed-forward relightable and animatable 3D hand reconstruction model from a single RGB image, and introduces a mesh-based disentangled 2D Gaussian splatting hand representation to ensure plausible geometry generation and achieve high-fidelity animation and relighting.
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