AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Scientific design often requires jointly satisfying multiple objectives and constraints. Pretrained masked diffusion models provide a generative foundation for this task, but fine-tuning them to meet these objectives and constraints incurs additional training costs, motivating inference-time guidance with frozen models...
RAPTOR (Ridge-Adaptive Logistic Probe), a simple L2-regularized logistic probe whose validation-tuned ridge strength yields concept vectors from normalized weights is proposed, explaining how penalty strength mediates probe accuracy and concept-vector stability and yielding structural predictions that qualitatively ali...
LatentDx is introduced, a latent multi-agent communication framework in which hospital agents keep private clinical records and retrieved cases local, and send compact latent KV blocks to a host agent for rare-disease diagnosis, which improves cross-hospital diagnostic performance while reducing reconstructable clinica...
This work proposes At-tribution Scores-based Soft Orthogonality Low-Rank Adaptation (ASO-LoRA), an effective and efficient framework that simultaneously facilitates knowledge transfer while mitigating catastrophic forgetting and achieving a balance between knowledge transfer and preservation.
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