AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Executable tests grade large language model (LLM) coding-agent patches for leaderboards, rewards and self-improvement. Two preregistered re-execution studies returned negative results. SWE-bench Pro v1's offline option rejected none of 59 accepted Go patches whose grading configuration changed. Their exploratory, unwei...
This work audits eight automatic scorers -- lexical, embedding, and BERTScore baselines alongside entailment/grounding-trained models -- across three evaluation constructs (provenance/topicality, generated-answer attribution, and fact-check entailment), asking whether any scorer transfers: stays within the 95% confiden...
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