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Jiangxi Normal University
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HVPNet achieves superior detection performance with a fraction of the complexity, challenging the notion that bigger models are always better.
Optimizing the order of thought in diffusion models can boost accuracy by over 9% on complex tasks like Sudoku and mathematical reasoning.
LLMs in medical diagnosis are alarmingly prone to jumping to conclusions, often answering before seeing all the evidence, but strategically delaying the question and evidence presentation can boost accuracy by up to 62.6%.
Achieve state-of-the-art medical lesion segmentation across diverse modalities and lesion types with a single, unified model that outperforms specialized approaches.
Unlock programmable origami robots: a new framework seamlessly blends rigid folding, elastic bending, and stability transitions.
