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Layer-native design transforms how generative models create and edit images, leading to significant performance gains in visual tasks.
ReBA achieves over fivefold improvement in load balancing for Vision-Language MoE without sacrificing accuracy, revealing a critical interplay between token mix and load profiles.
Achieving 10x faster decoding and 10x higher compactness, MSVS-VAE redefines the standards for high-fidelity 3D reconstruction.
Achieving 93.8% accuracy in predicting molecular structures from multimodal spectroscopic data could revolutionize how chemists approach organic synthesis and analysis.
Shrinking diffusion LLMs by distilling across different architectures can yield surprisingly strong performance, even boosting code generation scores by 16 points on HumanEval.