AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Hallucination remains a significant challenge in Large Vision-Language Models (LVLMs). Existing training-free methods generally mitigate hallucinations through contrastive decoding or visual enhancement, often increasing the relative influence of visual evidence during generation. This raises a fundamental question: Ca...
A role-aware signal that groups entities into agents, controlled objects, passive objects, and background, so that different physical roles can be modeled more clearly is introduced, and a modality-decoupled denoising strategy, where the visual and auxiliary channels are assigned independent noise levels, is proposed.
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