AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Cooperation with unfamiliar partners requires adapting to communication conventions that are not known in advance. We study this problem in a controlled Hanabi-derived environment with scripted hint generation, LLM-controlled receiving decisions, and frozen model weights. Across eight LLMs, linear probes recover intent...
LiDAR-SAM2 is introduced, a framework that turns a 2D video foundation model, SAM2, into a scalable source of supervision for the 4D LiDAR domain and produces semantic and panoptic labels on SemanticKITTI that approach the quality of full human annotation from only a few points.
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