AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work forms annotation as \emph{capability-bound process supervision} and instantiates Debate-to-Skill, which uses reusable decision principles, structured deliberation, verifier-based verdict extraction, and disagreement-driven refinement for industrial query-to-agent matching.
This work presents MG2Act, a structure-independent framework that translates two-step logic into sequential cross-attention, using CRBN-mediated degradation as the most data-rich representative system.
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