AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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PEARL augments the retrieval corpus offline by generating multi-hop queries over pre-identified join paths and reorganizing relevant columns into vertically partitioned corpus units, enabling effective multi-table retrieval without query-time LLM inference.
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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