AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Chart editing requires cross-modal edit grounding, realizing a requested visual change in the code that draws it, with necessary related updates and without altering unrelated content. Existing benchmarks emphasize either code executability or chart quality, but their metrics do not clearly distinguish request completi...
This work proposes StateMem, a single-state residual memory framework for VLA policies that uses prediction error to update a persistent memory token through low-rank residuals and to adaptively route cached prefixes.
This work proposes OrthoSkillVLA, a parameter-efficient framework for continual skill learning in pretrained VLA models without demonstration replay, and introduces a lightweight feature-aware MoE decoder that better preserves prior skills while acquiring new ones.
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