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Citation errors stemming from name changes can lead to significant mental health challenges for researchers, but inclusive policies can drastically reduce these issues.
Refusals from LLMs can be transformed into supportive communications that not only prevent harm but also guide users toward helpful resources.
Language models are systematically erasing mentions of marginalized groups, with automated filters disproportionately flagging content related to transgender people and women.
