AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Vision-language models (VLMs) can detect that an object has rotated across views, but cannot reliably tell by how much. We introduce OR-Bench, a fine-grained benchmark for object-rotation reasoning with eight tasks covering rotation detection, rotation magnitude estimation, and multi-view rotation reasoning. Across 12...
This work proposes SelectStream, a selective latent-memory framework that keeps the current observation directly visible to a frozen VLM while exposing historical information only through a compact, query-conditioned evidence budget.
A staged length bonus is introduced that keeps reasoning length within a controlled range without simply encouraging brevity in multi-view spatial reasoning, and improves accuracy over vanilla GRPO while reducing average response length.
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