AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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LastOPD is proposed, which applies the latent signal only at the last-layer state, the common interface both LM heads read, and only during a 10-step crossfade into token-level OPD, which keeps the useful part of the latent signal and hands the student to token-level supervision before the collapse sets in.
CodeScan is presented, the first black-box, vulnerability-specific scanning framework for auditing code generation LLMs, assuming that the defender specifies the target vulnerability classes and provides corresponding task-relevant prompts.
TimeEvo is proposed, which clusters an agent's diagnosed failures into capability gaps, plans a measurement for each, synthesizes evidence-only tools that fill them, and admits the candidate library only through a paired admission gate.
An interactive visual analytics system is developed to navigate the comparison landscape, identify pairs of interest, and drill down into discriminative tokens and their code contexts, as well as defining two new metrics: robustness and concentration.
Bazaar is introduced, a dynamic sealed-bid benchmark for multi-attribute auction under multi-attribute auction under these conditions, grounded in closed-form customer utilities, enabling exact evaluation.
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