AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Automated red teaming often replays a fixed set of prompts, which measures known risks but cannot learn from failures found during testing. We present CART (Closed-Loop Adaptive Red Teaming), a framework that uses each result to guide what it tests next. CART begins with broad risk coverage, follows weaknesses that eme...
Recent Vision-Language-Action (VLA) methods improve generalization by aligning their representations with 3D scene geometry. However, these methods are fundamentally instruction-agnostic: the representations align the entire scene uniformly, neglecting the 3D geometry of the specific target object designated by the lan...
This work introduces a history pathway that enables a vanilla VLA model to summarize observation history into temporally aware latent representations, which captures the evolving 3D world through temporally consistent geometric representations, enabling a deeper understanding of dynamic environments.
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