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Multimodal unlearning could revolutionize how we handle sensitive data in AI, enabling targeted removal without sacrificing model performance.
Simple Best-of-$N$ sampling can outperform complex guided search methods in text-to-image generation, revealing a critical flaw in how we evaluate efficiency in diffusion models.
