AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes OSPD, an on-policy self-distillation framework where the same model serves as both teacher and student under asymmetric information: the teacher receives a complete character profile while the student sees only a brief summary, and the student generates trajectories from its own policy.
This work proposes HyperReCo, a framework for retrieving and connecting evidence with a hypergraph neural network (HyperGNN), and introduces Gradient-Guided Hyper-Path Decoding (GGHD), which uses gradient attribution to interpret the learned interactions and translate them into explicit hyper-paths that help LLMs combi...
PolyBridgeBench, an executable benchmark for multimodal bridge design, is introduced, an executable benchmark for multimodal bridge design that returns temporal visual evidence from the failed rollout and evaluates repair under a fixed interaction budget.
Evaluating three frontier VLMs in both homogeneous and cross-model adversarial settings, it is found that even the strongest agent hallucinates 15.1% of its verifiable spatial claims and 11.5% of accusations are strictly unsupported.
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