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OmniGen-AR can seamlessly generate images from a wide array of conditions, outperforming existing methods that are limited to single-modality inputs.
Distribution shifts can drastically elevate privacy risks in LLM adaptations, challenging the reliability of theoretical DP guarantees.
Ditch the quadratic complexity of transformers for high-resolution dental images: this new encoder uses bidirectional sequence modeling to enhance global spatial context understanding without the computational cost.
