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There is enormous enthusiasm and concerns in using large language models (LLMs) in healthcare, yet current assumptions are all based on general-purpose LLMs such as ChatGPT. This study develops a clinical generative LLM, GatorTronGPT, using…

Information Extraction (IE) is an essential task in Natural Language Processing. Traditional methods have relied on coarse-grained extraction with simple instructions. However, with the emergence of Large Language Models (LLMs), there is a…

Computation and Language · Computer Science 2023-10-10 Jun Gao , Huan Zhao , Yice Zhang , Wei Wang , Changlong Yu , Ruifeng Xu

Objective: To evaluate the efficiency of large language models (LLMs) such as ChatGPT to assist in diagnosing neuro-ophthalmic diseases based on detailed case descriptions. Methods: We selected 22 different case reports of neuro-ophthalmic…

Computers and Society · Computer Science 2023-09-25 Yeganeh Madadi , Mohammad Delsoz , Priscilla A. Lao , Joseph W. Fong , TJ Hollingsworth , Malik Y. Kahook , Siamak Yousefi

Healthcare systems around the world are grappling with issues like inefficient diagnostics, rising costs, and limited access to specialists. These problems often lead to delays in treatment and poor health outcomes. Most current AI and deep…

Artificial Intelligence · Computer Science 2025-12-22 Maliha Tabassum , M Shamim Kaiser

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…

This study investigates the capabilities of large language models (LLMs), specifically ChatGPT, in annotating MT outputs based on an error typology. In contrast to previous work focusing mainly on general language, we explore ChatGPT's…

Computation and Language · Computer Science 2025-04-22 Joachim Minder , Guillaume Wisniewski , Natalie Kübler

Large language models (LLMs) implicitly learn to perform a range of language tasks, including machine translation (MT). Previous studies explore aspects of LLMs' MT capabilities. However, there exist a wide variety of languages for which…

Computation and Language · Computer Science 2023-09-15 Nathaniel R. Robinson , Perez Ogayo , David R. Mortensen , Graham Neubig

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

With the introduction of ChatGPT, Large Language Models (LLMs) have received enormous attention in healthcare. Despite their potential benefits, researchers have underscored various ethical implications. While individual instances have…

Computers and Society · Computer Science 2024-07-09 Joschka Haltaufderheide , Robert Ranisch

With ChatGPT under the spotlight, utilizing large language models (LLMs) to assist academic writing has drawn a significant amount of debate in the community. In this paper, we aim to present a comprehensive study of the detectability of…

Computation and Language · Computer Science 2024-03-19 Zeyan Liu , Zijun Yao , Fengjun Li , Bo Luo

Artificial Intelligence (AI) advancements have enabled the development of Large Language Models (LLMs) that can perform a variety of tasks with remarkable semantic understanding and accuracy. ChatGPT is one such LLM that has gained…

Software Engineering · Computer Science 2024-08-02 M. Mehdi Kholoosi , M. Ali Babar , Roland Croft

Large Language Models (LLMs) have emerged as influential instruments within the realm of natural language processing; nevertheless, their capacity to handle multi-party conversations (MPCs) -- a scenario marked by the presence of multiple…

Computation and Language · Computer Science 2023-10-26 Chao-Hong Tan , Jia-Chen Gu , Zhen-Hua Ling

Large language models have gained considerable interest for their impressive performance on various tasks. Among these models, ChatGPT developed by OpenAI has become extremely popular among early adopters who even regard it as a disruptive…

Computation and Language · Computer Science 2023-04-10 Aman Rangapur , Haoran Wang

Large Language Models (LLMs) such as ChatGPT demonstrated the potential to replicate human language abilities through technology, ranging from text generation to engaging in conversations. However, it remains controversial to what extent…

Computation and Language · Computer Science 2025-07-09 Martin Schuele

This study investigates the capacity of Large Language Models (LLMs) to infer the Big Five personality traits from free-form user interactions. The results demonstrate that a chatbot powered by GPT-4 can infer personality with moderate…

Human-Computer Interaction · Computer Science 2024-05-24 Heinrich Peters , Moran Cerf , Sandra C. Matz

Despite the success of ChatGPT, its performances on most NLP tasks are still well below the supervised baselines. In this work, we looked into the causes, and discovered that its subpar performance was caused by the following factors: (1)…

Computation and Language · Computer Science 2023-10-10 Xiaofei Sun , Linfeng Dong , Xiaoya Li , Zhen Wan , Shuhe Wang , Tianwei Zhang , Jiwei Li , Fei Cheng , Lingjuan Lyu , Fei Wu , Guoyin Wang

Large language models (LLMs) have made significant progress in various domains, including healthcare. However, the specialized nature of clinical language understanding tasks presents unique challenges and limitations that warrant further…

Computation and Language · Computer Science 2023-08-01 Yuqing Wang , Yun Zhao , Linda Petzold

ChatGPT has become a global sensation. As ChatGPT and other Large Language Models (LLMs) emerge, concerns of misusing them in various ways increase, such as disseminating fake news, plagiarism, manipulating public opinion, cheating, and…

Machine Learning · Computer Science 2023-04-06 Alessandro Pegoraro , Kavita Kumari , Hossein Fereidooni , Ahmad-Reza Sadeghi

Large language models have exhibited exceptional performance on various Natural Language Processing (NLP) tasks, leveraging techniques such as the pre-training, and instruction fine-tuning. Despite these advances, their effectiveness in…

Computation and Language · Computer Science 2023-06-19 Guangyu Wang , Guoxing Yang , Zongxin Du , Longjun Fan , Xiaohu Li

The adoption of Large Language Models (LLMs) for code generation in data science offers substantial potential for enhancing tasks such as data manipulation, statistical analysis, and visualization. However, the effectiveness of these models…

Software Engineering · Computer Science 2024-11-20 Nathalia Nascimento , Everton Guimaraes , Sai Sanjna Chintakunta , Santhosh Anitha Boominathan