P-Flow solves linear inverse problems by optimizing the flow's source latent with a proxy gradient and a Gaussian-sphere projection, matching or beating prior restoration methods at far lower cost.
U-Net: Convolutional networks for biomedical image segmentation
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B-GRTO pre-trains a segmentation tool via bootstrapped group relative optimization on GRPO rollouts, yielding substantial gains over plain GRPO on referring segmentation benchmarks.
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P-Flow: Proxy-gradient Flows for Linear Inverse Problems
P-Flow solves linear inverse problems by optimizing the flow's source latent with a proxy gradient and a Gaussian-sphere projection, matching or beating prior restoration methods at far lower cost.
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B-GRTO: Bootstrapped Group Relative Tool Optimization for Referring Segmentation
B-GRTO pre-trains a segmentation tool via bootstrapped group relative optimization on GRPO rollouts, yielding substantial gains over plain GRPO on referring segmentation benchmarks.