AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes Ontology-Masked Reasoning Autoencoding (OMRA), a controlled intervention that masks and reconstructs over-explained spans while preserving stance, factual content, and coherence and reduces the measured gap between AI preference and real user engagement.
Large language models are increasingly used to generate and evaluate online content, yet it remains unclear whether the qualities they associate with higher engagement match what real users respond to. We study this question using 1.17 million answers to 25,978 questions from Zhihu, Quora, and Reddit, comparing real pl...
HexLogicAgent is proposed, a framework that first organizes the meaning of natural-language statements and then guides logical reasoning through structured verification, supported by a logical hexagon theory, which explains why a complete structure of opposing meanings is necessary for reliable reasoning.
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