AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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OmniMapBench is introduced to foster visual-centric reasoning for document understanding of LVLMs and exhibits higher VDI than established benchmarks, which quantitatively validates its focus on irreducible visual reasoning.
TransMem is proposed, a lightweight inference-time parametric memory module that transforms sparse historical hidden states from a frozen LLM backbone into reusable memory representations and introduces evidence-conditioned self-distillation to learn transferable memory utilization rather than task-specific knowledge.
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