AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Evolutionary approaches to LLM-driven discovery often generate new programs from a small set of selected ancestors. This keeps contexts manageable but can omit useful evidence from other experiments, whereas including the full experimental history produces long, redundant contexts. We introduce a simple, single-agent d...
VeriPhy, an auditable physical-verification system in which a text-only planner compiles the prompt into typed physical obligations and a statically validated execution plan before any frame is observed, is presented.
ADOPD 2026 is presented, a reasoning-oriented extension of ADOPD that turns page decomposition into spatially grounded document understanding and provides a task framework that moves document understanding beyond localization toward anchor-grounded document intelligence.
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