AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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ReGround is introduced, a large-scale dataset for reviewer comment grounding that links 10,267 reviewer comments to 16,274 evidence in the original anonymous submission of 3,656 papers and exposes grounding reviewer comments as a difficult and practically important problem for scientific document understanding.
ReBeCA is introduced, a framework for analyzing the interpretable behavioral hierarchy governing the self-reflection outcome by modeling self-reflection trajectories as causal graphs and selecting observed parent candidates and evaluating their stability through a three-stage ICP-based pipeline.
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