Showing 1 - 20 results of 411 for search '"large language model"', query time: 0.08s Refine Results
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    Integrating large language models with internet of things: applications by Mingyu Zong, Arvin Hekmati, Michael Guastalla, Yiyi Li, Bhaskar Krishnamachari

    Published 2025-01-01
    “…Abstract This paper identifies and analyzes applications in which Large Language Models (LLMs) can make Internet of Things (IoT) networks more intelligent and responsive through three case studies from critical topics: DDoS attack detection, macroprogramming over IoT systems, and sensor data processing. …”
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    Application of large language models in disease diagnosis and treatment by Xintian Yang, Tongxin Li, Qin Su, Yaling Liu, Chenxi Kang, Yong Lyu, Lina Zhao, Yongzhan Nie, Yanglin Pan, Yuanyuan Ji

    Published 2025-01-01
    “…Abstract. Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. …”
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    Zero-Shot Classification of Art With Large Language Models by Tatsuya Tojima, Mitsuo Yoshida

    Published 2025-01-01
    “…In this study, we propose the zero-shot classification method to perform automatic annotation in data processing for art price prediction by leveraging large language models (LLMs). The proposed method can perform annotation without new training data. …”
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    Evaluating the ability of large language models to emulate personality by Yilei Wang, Jiabao Zhao, Deniz S. Ones, Liang He, Xin Xu

    Published 2025-01-01
    “…Abstract For social sciences, recent advancements in Large Language Models (LLMs) have the potential to revolutionize the study of human behaviors by facilitating the creation of realistic agents characterized by a diverse range of individual differences. …”
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    Exploring the Impact of Large Language Models on Disease Diagnosis by Ibrahim Almubark

    Published 2025-01-01
    Subjects: “…Large language models…”
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    A Survey on Hardware Accelerators for Large Language Models by Christoforos Kachris

    Published 2025-01-01
    Subjects: “…large language models…”
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    The Applications and Prospects of Large Language Models in Traffic Flow Prediction by Liu Yuxuan

    Published 2025-01-01
    “…However, due to the complexity and non-transparency of DL models themselves, there are still problems of low accuracy and interpretability in traffic flow prediction (TFP). Leveraging large language models (LLM) helps to improve the negative conditions caused by other DL models in prediction. …”
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    Towards evaluating and building versatile large language models for medicine by Chaoyi Wu, Pengcheng Qiu, Jinxin Liu, Hongfei Gu, Na Li, Ya Zhang, Yanfeng Wang, Weidi Xie

    Published 2025-01-01
    “…Abstract In this study, we present MedS-Bench, a comprehensive benchmark to evaluate large language models (LLMs) in clinical contexts, MedS-Bench, spanning 11 high-level clinical tasks. …”
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    ECG-LM: Understanding Electrocardiogram with a Large Language Model by Kai Yang, Massimo Hong, Jiahuan Zhang, Yizhen Luo, Suyuan Zhao, Ou Zhang, Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Ping Zhang, Mu Qiao, Zaiqing Nie

    Published 2025-01-01
    “…To this end, we develop ECG-Language Model (ECG-LM), the first multi-modal large language model able to process natural language and understand ECG signals. …”
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    Quantum many-body physics calculations with large language models by Haining Pan, Nayantara Mudur, William Taranto, Maria Tikhanovskaya, Subhashini Venugopalan, Yasaman Bahri, Michael P. Brenner, Eun-Ah Kim

    Published 2025-01-01
    “…Abstract Large language models (LLMs) have demonstrated abilities to perform complex tasks in multiple domains, including mathematical and scientific reasoning. …”
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    Expert evaluation of large language models for clinical dialogue summarization by David Fraile Navarro, Enrico Coiera, Thomas W. Hambly, Zoe Triplett, Nahyan Asif, Anindya Susanto, Anamika Chowdhury, Amaya Azcoaga Lorenzo, Mark Dras, Shlomo Berkovsky

    Published 2025-01-01
    “…Abstract We assessed the performance of large language models’ summarizing clinical dialogues using computational metrics and human evaluations. …”
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