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Multimodal unlearning could revolutionize how we handle sensitive data in AI, enabling targeted removal without sacrificing model performance.
Even the most advanced LLMs fall short in simulating scientific progress, producing synthetic research corpora that lack the diversity and novelty of human-authored work.
