AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The finding is that unified OVD can be made substantially simpler with semantic-rich visual representations and scalable grounding supervision, and turns mixed prompting from interference into complementarity, improving over text or visual prompt alone.
This work introduces a new setting, denoted as Criterion-Conditional In-Context Learning (CC-ICL), where models must infer the latent criterion from context and adjust predictions accordingly under fixed task semantics, and proposes two complementary metrics, Criterion Invariance and Criterion Sensitivity, to evaluate...
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