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Unified Latent Diffusion Reasoner (Unified Latent Diffusion Reasoner), a framework that brings teacher reasoning steps from different modalities into shared thought tokens, trained to preserve the information needed for later reasoning steps and the final answer or action.
SimpleDesign achieves state-of-the-art protein design without the cumbersome multi-stage training, streamlining the process and enhancing performance.
DeepWeaver transforms the way LLMs synthesize evidence, leading to answers that are not only more comprehensive but also better grounded in citations.
Achieving top-tier retinal vessel segmentation with just one annotated image, ESRVS redefines the limits of semi-supervised learning in medical imaging.
NF-CoT achieves higher code-generation accuracy with lower reasoning costs by enabling latent reasoning in continuous states without sacrificing the benefits of traditional chain-of-thought approaches.
UAVs can actively improve their LiDAR-based navigation in feature-poor environments by mimicking how animals use head movements to enhance perception.
