AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The results suggest that the mixed evidence in prior work may partly stem from individual-level evaluation, and that the value of socio-demographic information depends on both how it is evaluated and how models are guided to use it.
ProofTeller, a benchmark that evaluates large language models' ability to faithfully interpret its reasoning, finds a consistent near-conclusion bias: LLMs tend to focus on steps closest to the final proof conclusion rather than on the most informative ones.
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