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Department of Computer Science, Department of Biomedical Engineering, Rensselaer Polytechnic Institute
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MoE models don't automatically win on efficiency: the best accuracy-efficiency tradeoff for reasoning LLMs depends on a complex interplay between architecture, prompting, and task.
Drifting models leapfrog diffusion models in MRI-to-CT synthesis, achieving state-of-the-art image quality with millisecond-level inference speeds.