AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work forms Silent-error Resilience Task, an interactive task that evaluates whether agents complete the original query after a silent error corrupts an intermediate state, and introduces RITE, a benchmark built from human-authored industrial workflows and production-log-derived inputs.
QuAD, a framework for quantitative pre-analysis assessment of qualitative response datasets, is introduced and a content-aware multi-agent system with two-stage instruction generation and adaptive anchors to improve scoring consistency is proposed.
Symbolic regression combines structural search with numerical fitting, but aggregate fit scores do not describe how the remaining error varies across inputs. We introduce RISR, a residual-informed method that uses these error patterns to guide formula discovery and learn which corrections are worth fitting. A residual...
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