AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes a framework that efficiently exploits factual information from a knowledge graph via retrieval-augmented generation via retrieval-augmented generation (RAG), with the goal of enabling LVLMs to generate detailed and accurate image explanations.
A scalable evaluation framework for simile understanding is proposed that includes a controlled simile dataset in which metaphorical vehicles are drawn from a predefined set of object-detectable categories and combined with diverse templates.
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