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Current AI systems struggle to conduct independent scientific research, with performance plummeting by nearly 50% when human guidance is removed.
Multimodal graph unlearning doesn't have to destroy utility: carefully protecting high-dimensional input projections during the unlearning process preserves performance while still enabling effective forgetting.