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PRISM achieves a remarkable 12.94 percentage point improvement in noisy audio classification without any additional training, redefining adaptation strategies for ATMs.
Achieve superior medical image segmentation by explicitly modeling uncertainty and efficiently fusing vision and language modalities.
Achieve state-of-the-art structure-preserving conditional image generation with diffusion models using only 8M parameters, or even *fewer* parameters than existing adapters.
