AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Training language agents is bottlenecked by the high cost of long-horizon rollouts, yet standard agentic reinforcement learning (RL) learns only from a terminal scalar reward, leaving the supervision in intermediate steps largely unused. Prior work exploits this supervision through value targets that estimate per-step...
This framework connects generative ranking to combinatorial optimization, opening a path toward other $O(1)$-decode mechanisms for real-time ranking.
CoFiRec is proposed, a novel generative recommendation framework that explicitly incorporates the Coarse-to-Fine nature of item semantics into the tokenization process, and it is proved that structured tokenization leads to lower dissimilarity between generated and ground truth items, supporting its effectiveness in ge...
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