AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is demonstrated that multi-agent consensus can enforce artificial agreement at the expense of true human alignment at the expense of true human alignment, revealing a structural limitation in consensus-style, role-specialized MAD protocols for subjective scoring.
A probability-based framework for auditing MCQA benchmarks using model output distributions and introduces noise injection to reduce meaningful distractor competition, suggesting that this framework provides a lightweight audit lens for comparing macro-level benchmark structure and prioritizing individual items for targeted human review.
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