AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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GRIT, a training framework that incorporates visual grounding into RLVR to mitigate the impact of Correct-but-Visually-Misgrounded Reasoning (CVMR), is proposed and introduced, and experiments demonstrate that GRIT significantly improves both reasoning accuracy and grounding fidelity over existing RLVR methods.
Difficulty-Aware Chain-of-Thought (DA-CoT), a training-free adaptive framework that selectively triggers CoT based on the input's intrinsic difficulty, is proposed, finding that the entropy of the model's attention maps reliably reflects task difficulty: low entropy indicates confident, localized grounding, while high...
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