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相关论文: Are Large Language Models Ready for Healthcare? A …

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There are many cases where LLMs are used for specific tasks in a single domain. These usually require less general, but more domain-specific knowledge. Highly capable, general-purpose state-of-the-art language models like GPT-4 or…

机器学习 · 计算机科学 2024-07-30 Tobias Kerner

In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable advancements and have been applied in diverse fields. Built on the Transformer architecture, these models are trained on extensive datasets, enabling them to…

Recent developments in large language models (LLMs) have unlocked new opportunities for healthcare, from information synthesis to clinical decision support. These new LLMs are not just capable of modeling language, but can also act as…

Large language models (LLMs) demonstrate extraordinary abilities in a wide range of natural language processing (NLP) tasks. In this paper, we show that, beyond text understanding capability, LLMs are capable of processing text layouts that…

计算与语言 · 计算机科学 2024-08-29 Weiming Li , Manni Duan , Dong An , Yan Shao

Large Language Models (LLMs) have rapidly become important tools in Biomedical and Health Informatics (BHI), enabling new ways to analyze data, treat patients, and conduct research. This study aims to provide a comprehensive overview of LLM…

数字图书馆 · 计算机科学 2024-07-30 Huizi Yu , Lizhou Fan , Lingyao Li , Jiayan Zhou , Zihui Ma , Lu Xian , Wenyue Hua , Sijia He , Mingyu Jin , Yongfeng Zhang , Ashvin Gandhi , Xin Ma

Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence. The application of LLMs extends beyond conventional…

Large language models (LLMs) are becoming attractive as few-shot reasoners to solve Natural Language (NL)-related tasks. However, the understanding of their capability to process structured data like tables remains an under-explored area.…

计算与语言 · 计算机科学 2024-07-18 Yuan Sui , Mengyu Zhou , Mingjie Zhou , Shi Han , Dongmei Zhang

Large Language Models (LLMs) have become a key topic in AI and NLP, transforming sectors like healthcare, finance, education, and marketing by improving customer service, automating tasks, providing insights, improving diagnostics, and…

人工智能 · 计算机科学 2025-12-05 Vignesh Kumar Kembu , Pierandrea Morandini , Marta Bianca Maria Ranzini , Antonino Nocera

Purpose: The purpose of this study is to investigate the potential of Large Language Models (LLMs) in transforming technical customer service (TCS) through the automation of cognitive tasks. Design/Methodology/Approach: Using a prototyping…

综合经济学 · 经济学 2024-06-04 Jochen Wulf , Juerg Meierhofer

Large Language Models (LLMs), particularly those similar to ChatGPT, have significantly influenced the field of Natural Language Processing (NLP). While these models excel in general language tasks, their performance in domain-specific…

计算与语言 · 计算机科学 2024-01-02 Omid Rohanian , Mohammadmahdi Nouriborji , David A. Clifton

Digital technologies have long been explored as a complement to standard procedure in mental health research and practice, ranging from the management of electronic health records to app-based interventions. The recent emergence of large…

Unlocking the potential of Large Language Models (LLMs) in data classification represents a promising frontier in natural language processing. In this work, we evaluate the performance of different LLMs in comparison with state-of-the-art…

计算与语言 · 计算机科学 2025-01-16 Arina Kostina , Marios D. Dikaiakos , Dimosthenis Stefanidis , George Pallis

Large Language Models (LLMs) have demonstrated impressive capabilities in role-playing scenarios, particularly in simulating domain-specific experts using tailored prompts. This ability enables LLMs to adopt the persona of individuals with…

人工智能 · 计算机科学 2025-01-14 Xinyao Ma , Rui Zhu , Zihao Wang , Jingwei Xiong , Qingyu Chen , Haixu Tang , L. Jean Camp , Lucila Ohno-Machado

This position paper analyzes the evolving roles of open-source and closed-source large language models (LLMs) in healthcare, emphasizing their distinct contributions and the scientific community's response to their development. Due to their…

计算机与社会 · 计算机科学 2025-01-20 Jiawei Xu , Ying Ding , Yi Bu

Large language models (LLMs) have demonstrated impressive performance across various domains. However, for clinical diagnosis, higher expectations are required for LLM's reliability and sensitivity: thinking like physicians and remaining…

计算与语言 · 计算机科学 2025-04-21 Chenwei Yan , Xiangling Fu , Yuxuan Xiong , Tianyi Wang , Siu Cheung Hui , Ji Wu , Xien Liu

Recent breakthroughs in large language models (LLMs) offer unprecedented natural language understanding and generation capabilities. However, existing surveys on LLMs in biomedicine often focus on specific applications or model…

The recent progress of large language models (LLMs), including ChatGPT and GPT-4, in comprehending and responding to human instructions has been remarkable. Nevertheless, these models typically perform better in English and have not been…

计算与语言 · 计算机科学 2023-04-18 Honglin Xiong , Sheng Wang , Yitao Zhu , Zihao Zhao , Yuxiao Liu , Linlin Huang , Qian Wang , Dinggang Shen

Large Language Models (LLMs) have demonstrated their transformative potential across numerous disciplinary studies, reshaping the existing research methodologies and fostering interdisciplinary collaboration. However, a systematic…

计算与语言 · 计算机科学 2025-07-14 Lu Xiang , Yang Zhao , Yaping Zhang , Chengqing Zong

ChatGPT and other state-of-the-art large language models (LLMs) are rapidly transforming multiple fields, offering powerful tools for a wide range of applications. These models, commonly trained on vast datasets, exhibit human-like text…

Large Language Models(LLMs)have become effective tools for natural language processing and have been used in many different fields. This essay offers a succinct summary of various LLM subcategories. The survey emphasizes recent developments…

计算与语言 · 计算机科学 2023-07-21 Saurabh Pahune , Manoj Chandrasekharan