March 6, 2024, 5:48 a.m. | Sijie Ji, Xinzhe Zheng, Chenshu Wu

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.02727v1 Announce Type: new
Abstract: There is an ongoing debate regarding the potential of Large Language Models (LLMs) as foundational models seamlessly integrated with Cyber-Physical Systems (CPS) for interpreting the physical world. In this paper, we carry out a case study to answer the following question: Are LLMs capable of zero-shot human activity recognition (HAR). Our study, HARGPT, presents an affirmative answer by demonstrating that LLMs can comprehend raw IMU data and perform HAR tasks in a zero-shot manner, with …

abstract arxiv case case study cs.ai cs.cl cs.hc cyber foundational models human language language models large language large language models llms paper question study systems type world zero-shot

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