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Pixel-Space Diffusion Transformers could redefine high-fidelity image generation by integrating visual understanding and generation in a unified model.
YOCO++ proves you can halve the KV cache size in LLMs and still beat a standard Transformer, thanks to a clever residual connection trick.
