AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Interactive world models are increasingly capable of generating environments and acting within them, yet deliberately editing an existing executable world remains underexplored. We formulate world editing as intervening on an existing world while preserving properties that should remain unchanged, and introduce interve...
VLMs are increasingly positioned as daily assistants that perceive first-person environments, follow user dialogue, and decide how to help. Existing egocentric benchmarks mainly evaluate visual understanding in isolation, leaving open whether models can arbitrate between visual evidence and user-provided language when...
A two-stage framework that derives lightweight scope guidance before aspect refinement and summarization, improving focus and reducing over-generation is introduced, establishing a crucial insight for the deployment of LLMs in similar real-world applications.
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