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Existing Multi-modality Machine Unlearning methods are fundamentally flawed, allowing adversaries to recover nearly all supposedly erased sensitive information from MLLMs.
Traditional research papers are costing AI agents reproducibility and understanding, but a new "Agent-Native" format that captures the full messy research process boosts performance by up to 20%.
