AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The Spectral Pullback Network (SPN) is developed, which learns a low-rank version of the metric from randomized power iteration, and is distill into a $310$K-parameter importance head that predicts token importance directly from the features.
SLICEChat is introduced, a slide-level MLLM that integrates progressive token pruning within a hybrid Mamba--Transformer slide encoder, which demonstrates accurate and computationally efficient multimodal reasoning over gigapixel WSIs.
Grounded in incongruity-resolution theory and expert captionist practice, IRS supervises intermediate reasoning process through structured traces that make the path from visual perception to humorous interpretation explicit and learnable.
BeyondMasks reframes video object removal as causal scene consistency rather than local reconstruction and provides a unified framework for its evaluation, and proposes CORE, a structured vision language model based evaluation protocol that jointly measures object disappearance and after effect consistency, aligning mo...
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