AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Open-UniMo, a unified Large Motion-Language Model (LMLM) trained on million-scale open-world motion-language data, and Open-MoBench, a VLM-guided benchmark for assessing text-to-motion (T2M) generation, motion-to-text (M2T) understanding, and bidirectional consistency are proposed.
The study yields two findings: first, the label's answer form -- not its bit count -- causally determines what fine-tuning teaches: a ranking objective installs an out-of-distribution forward model where the untrained base sits at the guessing prior.
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