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Defensive poisoning can effectively clear over half of original backdoors in LLMs, but the dynamics of trigger recognition reveal deeper vulnerabilities.
Conditioning LLMs on human privacy judgments leads to a remarkable increase in alignment with user expectations, showcasing a new standard for agent training.
