Feb. 5, 2024, 3:47 p.m. | Weijie Xu Zicheng Huang Wenxiang Hu Xi Fang Rajesh Kumar Cherukuri Naumaan Nayyar Lorenzo Malandri

cs.CL updates on arXiv.org arxiv.org

Recent advancements in Large Language Models (LLMs) have been reshaping Natural Language Processing (NLP) task in several domains. Their use in the field of Human Resources (HR) has still room for expansions and could be beneficial for several time consuming tasks. Examples such as time-off submissions, medical claims filing, and access requests are noteworthy, but they are by no means the sole instances. However, the aforementioned developments must grapple with the pivotal challenge of constructing a high-quality training dataset. On …

agent cs.ai cs.cl dataset dialogue domains examples human human resources language language models language processing large language large language models llm llms medical natural natural language natural language processing nlp processing resources room tasks

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