AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work shows that LLMs can be used to strategically target expert attention, shortening months of codebook revision to days without sacrificing labeling performance.
This work proposes a fully local cascade framework that reframes de-identification from open-ended entity recognition to constrained privacy triage, and evaluates three reviewer configurations against same-family LLM-only baselines and a commercial API on math tutoring transcripts from two large platforms.
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