AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A corpus-grounded taxonomy of communication failures, built from 3,211 failed multi-round trajectories across medical QA, coding, finance, multi-hop reasoning, ethics, and embodied text tasks, finds that failures are dominated by recovery/correction and consensus/decision problems rather than isolated first-round mista...
Large language model (LLM) agent failures often contain multiple related errors rather than a single mistake. Existing attribution methods usually identify a responsible agent, step, or root cause, but do not explicitly model dependency between errors. We introduce EDGE, an Error Dependency Graph-guided multi-Error att...
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