AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work presents Attribution-guided Semantic Evolution (ASE), a modular framework for constructing textual factors, evaluating their conditional contribution, and deploying validation-selected numerical--textual predictors, coupled to suitable numerical experts.
RewardWeaver is introduced, a self-evolving reward adaptation framework for language agents in long-horizon interaction that maintains a validated capability space in which the semantics of admitted Rubrics remain fixed, and closes the loop between policy optimization, task evaluation, failure attribution, and reward a...
This work proposes DEFT, a frequency-domain data sampling method that identifies the dominant Fourier modes of a physical system and systematically varies the corresponding amplitudes and phases to generate physically consistent training data via the inverse discrete Fourier transform.
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