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LLMs often hallucinate, but a simple probe can reveal whether the error stems from misusing the prompt or from faulty internal knowledge, paving the way for targeted mitigation strategies.
Despite growing interest, queer NLP research remains largely reactive, highlighting biases instead of building proactive solutions, leaving significant opportunities for stakeholder-driven and intersectional approaches.
