AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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PsPLUG is proposed, a lightweight plug-in that learns a user-specific residual after accounting for the requested style, and better preserves user preferences while providing precise control over the balance between personalization and style adherence.
This work presents CARD, a hierarchical framework that achieves effective personalization through progressive refinement that first clusters users according to shared stylistic patterns and learns group-specific LoRA adapters, enabling robust generalization and strong low-resource performance.
The Evidence Package Benchmark is introduced, integrating 1,870 packages across six heterogeneous sources with explicit modality masks and evidence permissions, and EviBound, a protocol-aware evidence control framework is proposed, a protocol-aware evidence control framework for safer clinical NLP research.
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