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Identifying HIV-related stigma in clinical notes is now possible with LLMs, potentially improving mental health care and treatment outcomes for people living with HIV.
LLMs, like humans, exhibit a "frequency bias," performing better when prompted and fine-tuned with more common textual expressions.
