AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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DraftAttention2 is presented, a training-free framework that uses the low-resolution draft attention map to jointly select attention blocks and assign their numerical precision, and achieves a superior quality-efficiency trade-off over existing efficient video generation methods.
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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