AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Code editing requires a model to decide where to make changes, generate the new content, and preserve everything else. We study how masked diffusion language models divide these responsibilities across four editing interfaces: whole-file rewriting, search-and-replace, locate-then-infill, and token-level editing. Experi...
This work introduces an inclined boundary that evaluates prediction loss relative to predictive entropy, and shows that entropy correction can preserve the expected membership signal while reducing its variance, thereby improving standardized member--non-member separation.
VizRAG is introduced, the first RAG system to support visual hypergraph structure awareness, and demonstrates that VizRAG significantly outperforms strong baselines, validating the promising potential of hypergraph visualization as a novel approach for RAG systems.
COVE is presented, a unified agent self-evolution framework that combines harness-based and parameter-based learning through task-aware routing, stage-aware scheduling, and knowledge optimization, and shows that COVE outperforms single-channel evolution strategies.
ReCo (Reward-Coordinated Compression), a step-wise framework in which a lightweight process-reward estimator scores each completed step and drives three components: reward-adaptive KV-cache compression that shrinks the retained cache harder at high-reward steps and less at low-reward ones, and a confidence-based early...
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