AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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EcoFrame is proposed, a training-free framework for low-overhead query-adaptive visual evidence scheduling that leverages the VLM's inference feedback to determine when to increase the frame budget and where to search for additional candidate evidence.
This work proposes Token Radius Attention (TRA), a training-free framework that maps query entropy to an analytic token budget and converts it into a temporally decayed radius without explicit key ranking and achieves 1.05x speedup with competitive generation quality.
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