AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes self-instructing policy optimization (SIPO) with a contrastive self-teacher to provide dense credit, and demonstrates that SIPO outperforms both RLVR and OPSD baselines without an external teacher or additional generation.
Topology-Aware Tokenization (TopoTok) is proposed, an item tokenization framework that preserves item relational structure throughout the quantization hierarchy and effectively alleviates topology distortion and consistently outperforms state-of-the-art tokenizers.
Experiments on real-world datasets show that SCoRD enables effective and efficient retriever-reranker co-adaptation and introduces a semantic reasoning assistant that distills the LLM's ability to infer underlying user intents into reusable intent-level guidance.
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