AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Hong Kong University of Science and Techonoly
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Recently Large Language Models (LLMs) and LLM-based agents increasingly need to incorporate knowledge acquired after pretraining, e.g., domain facts, user preferences, documents, and interaction experience. In-context learning (ICL) and ICL-based agent harness remain flexible, but they consume context capacity and incu...
AgentIdeaBench is introduced, a multidisciplinary benchmark that evaluates scientific ideation under two matched settings, static observation and active exploration, and Scientific World Modeling is explored, a generation-time loop that refines a draft hypothesis through structured thought experiments.
It is shown that broader retrieval benefits visual DLM-RAG through selective evidence admission rather than unconditional evidence expansion, and the Entropy-Based Candidate Filter (ECF), a training-free evidence-admission framework is proposed, shows that broader retrieval benefits visual DLM-RAG through selective evi...
Temporal-Distance-JEPA narrows the train--plan gap for JEPA world-model planners by discovering temporal progress structure in offline logs and co-designing cost form with plan-time deployment.
VisualPatchWorld is introduced, which represents world dynamics as code and first selects a qualitative dynamical form with short active probes, then fits that form's free parameters from recorded state-action traces by minimizing multi-step prediction error.
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