AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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D-MOPD (Dynamic Domain ScheDuling for MOPD), a zero-overhead scheduler that repurposes the per-domain reverse-KL signal already produced during training to adapt the domain mixture online to adapt the domain mixture online.
A unified temporal-credit view of token-level OPD and sequence-level OPD is established, showing that practical token-level OPD can be interpreted as a temporal approximation to the sequence-level reverse-KL gradient.
This work introduces AgenticInterleave, a single-agent ReAct framework for retrieval-supported answer generation, together with IVR-12, a 12-dimensional rubric for assessing the content, presentation, and image quality of interleaved references and model outputs, and evaluates both short-answer correctness and interlea...
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