Papers by Julia Harrington

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Challenge:	Recent advances in large language models (LLMs) have significantly transformed medical systems, but their potential within specialized domains such as nursing remains underexplored.
Approach:	They propose a multi-stage data generation pipeline to build the first large scale nursing MCQ dataset to train LLMs on a broad spectrum of nursing topics.
Outcome:	The proposed LLM outperforms general-purpose and medical-specialized LLMs on different benchmarks, underscoring the importance of a specialized Lm for the nursing domain.