AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The results support PragAlign as a quality-control framework for improving evaluator-defined communicative constraint satisfaction, while showing that affective realization and independent human-perceived quality remain open challenges.
This work studies logical verification in five open-weight transformer models using matched valid--invalid premise--claim pairs that vary across inference families, semantic domains, templates, and inference families, suggesting that representing validity, expressing it in behavior, and using it causally are distinct.
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