AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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ParaRecover is introduced, a process-level benchmark for evaluating error localization and recovery in multi-turn parallel tool-use agents, and the SDE rubric is proposed, which measures structural integrity, diagnostic reasoning, and evolutionary strategy during agent execution.
Large Language Models (LLMs) often face challenges in performing reliable multi-hop reasoning due to issues such as incomplete evidence chains and hallucinations. Incorporating knowledge graphs (KGs) can mitigate these problems, but existing approaches either suffer from suboptimal accuracy or are computationally exp...
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