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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...
SkillSight is proposed, 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 in end-to-end evaluation.
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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