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Adversarial attacks can be mitigated by up to 60% in Mixture-of-Experts models through a novel shared expert mechanism that anchors safety alignment.
Current NLP metrics for "trustworthy" AI in mental health are dangerously misaligned with the actual needs of patients and practitioners.
