HR-Agent: A Task-Oriented Dialogue (TOD) LLM Agent Tailored for HR Applications

October 15, 2024 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Weijie Xu, Jay Desai, Fanyou Wu, Josef Valvoda, Srinivasan H. Sengamedu arXiv ID 2410.11239 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 2 Venue arXiv.org Last Checked 5 months ago
Abstract
Recent LLM (Large Language Models) advancements benefit many fields such as education and finance, but HR has hundreds of repetitive processes, such as access requests, medical claim filing and time-off submissions, which are unaddressed. We relate these tasks to the LLM agent, which has addressed tasks such as writing assisting and customer support. We present HR-Agent, an efficient, confidential, and HR-specific LLM-based task-oriented dialogue system tailored for automating repetitive HR processes such as medical claims and access requests. Since conversation data is not sent to an LLM during inference, it preserves confidentiality required in HR-related tasks.
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