AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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TQTS-BENCH is introduced, a multi-syntax benchmark for evaluating text-to-query capabilities over TSDBs, and error analysis reveals that this performance gap mainly stems from the heterogeneous query syntaxes across different TSDBs, misinterpretation of time-specific intents, and incorrect schema linking.
Self-Indexing Attention is proposed, a training-free framework built on a shared transform-domain sign-magnitude representation that provides a reusable token-level index for grouped prefill selection and decode retrieval, while the same representation remains compatible with external KV-cache compression without separ...
The Semantic Localization-Enhanced Teacher (SLE-T), a semantically compatible knowledge-distillation framework built around a lightweight SLE Adapter for DINOv2, achieves state-of-the-art performance and ablation studies confirm the importance of teacher-student semantic compatibility.
Learning-state-aware dynamic generative data augmentation (LSADA) is proposed, which introduces a decoupled data augmentation and diffusion fusion strategy that applies strength-controlled transformations to class-relevant regions and generates diverse class-irrelevant regions, progressively fusing them to improve imag...
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