AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Continual learning requires models to accumulate past experience and transfer it to new tasks. Despite substantial research on continual learning, existing work remains largely confined to non-embodied settings, without extending to embodied environments. To address this gap, we introduce EmbodiedCLBench, the first ben...
Using SAFERELBENCH to evaluate seven open- and closed-source VLM-driven embodied agents, this work finds a substantial gap between task success and process-level safety compliance, and shows that safe embodied intelligence requires not only stronger perception and planning, but also reliable reasoning about how object...
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