AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Molecular property prediction is central to drug development and materials discovery, but experiments are costly and labeled data are scarce. Context-aware methods use auxiliary assay labels to support few-shot prediction, and recent work supervises property relations with label agreement. However, label agreement is s...
In recent years, encoder–decoder architectures have driven remarkable progress in remote sensing semantic segmentation. However, achieving both high accuracy and computational efficiency for high-resolution UAV imagery remains challenging. For Vision Transformer (ViT)-based models, the quadratic computational and memor...
As large language model agents gain access to increasingly large skill libraries, retrieving the right skill becomes critical to reliable capability selection and execution. Existing retrievers often treat skill contents as ordinary documents, overlooking their highly regular structure: shared descriptive patterns recu...
SkillSight, a training-free retrieval framework that calibrates shared background in both semantic and lexical spaces and achieves the best overall performance across three agent models and outperforms LLM Selection by up to 4.97 percentage points.
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