AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A multi-agent refinement process that iteratively improves LLM-driven counter-narratives for persuasiveness, emotional engagement, and shareability is introduced, highlighting a pathway toward scalable, narrative-specific interventions against hate speech and misinformation.
A max-regret inference rule is proposed that prioritizes commitments with high opportunity cost in reading order inference to avoid the cascading"edge-theft"failures of greedy edge selection.
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