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Automatic disease diagnosis has become increasingly valuable in clinical practice. The advent of large language models (LLMs) has catalyzed a paradigm shift in artificial intelligence, with growing evidence supporting the efficacy of LLMs…

General purpose Large Language Models (LLM) such as the Generative Pretrained Transformer (GPT) and Large Language Model Meta AI (LLaMA) have attracted much attention in recent years. There is strong evidence that these models can perform…

Computation and Language · Computer Science 2024-04-25 Hossein Salami , Brandye Smith-Goettler , Vijay Yadav

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

Artificial intelligence (AI) technology has advanced rapidly in recent years, with large language models (LLMs) emerging as a significant breakthrough. LLMs are increasingly making an impact across various industries, with the medical field…

Artificial Intelligence · Computer Science 2025-09-24 Zhiyu Kan , Wensheng Gan , Zhenlian Qi , Philip S. Yu

Bayesian adaptive clinical trials offer a flexible and efficient alternative to traditional fixed-design trials, but their implementation is often hindered by the complexity of Bayesian computations and the need for advanced statistical…

Applications · Statistics 2025-07-04 Krishna Padmanabhan , Danny Baker

Large-scale language models (LLMs) have emerged as a groundbreaking innovation in the realm of question-answering and conversational agents. These models, leveraging different deep learning architectures such as Transformers, are trained on…

Software Engineering · Computer Science 2023-07-18 Fardin Ahsan Sakib , Saadat Hasan Khan , A. H. M. Rezaul Karim

To address challenges in the digital economy's landscape of digital intelligence, large language models (LLMs) have been developed. Improvements in computational power and available resources have significantly advanced LLMs, allowing their…

Computation and Language · Computer Science 2024-05-24 Yanxin Zheng , Wensheng Gan , Zefeng Chen , Zhenlian Qi , Qian Liang , Philip S. Yu

This study explores the application of Large Language Models (LLMs), specifically GPT-4, in the analysis of classroom dialogue, a crucial research task for both teaching diagnosis and quality improvement. Recognizing the knowledge-intensive…

Computation and Language · Computer Science 2024-10-08 Yun Long , Haifeng Luo , Yu Zhang

The recent swift development of LLMs like GPT-4, Gemini, and GPT-3.5 offers a transformative opportunity in medicine and healthcare, especially in digital diagnostics. This study evaluates each model diagnostic abilities by interpreting a…

Computation and Language · Computer Science 2024-05-14 Gaurav Kumar Gupta , Aditi Singh , Sijo Valayakkad Manikandan , Abul Ehtesham

Objective: This study aims to summarize the usage of Large Language Models (LLMs) in the process of creating a scientific review. We look at the range of stages in a review that can be automated and assess the current state-of-the-art…

Digital Libraries · Computer Science 2025-05-16 Dmitry Scherbakov , Nina Hubig , Vinita Jansari , Alexander Bakumenko , Leslie A. Lenert

Large language models (LLMs) constitute a breakthrough state-of-the-art Artificial Intelligence technology which is rapidly evolving and promises to aid in medical diagnosis. However, the correctness and the accuracy of their returns has…

Computation and Language · Computer Science 2024-02-07 Dimitrios P. Panagoulias , Maria Virvou , George A. Tsihrintzis

Machine Learning (ML) algorithms are vital for supporting clinical decision-making in biomedical informatics. However, their predictive performance can vary across demographic groups, often due to the underrepresentation of historically…

Machine Learning · Computer Science 2025-03-04 Ioannis Bilionis , Ricardo C. Berrios , Luis Fernandez-Luque , Carlos Castillo

Researchers often rely on humans to code (label, annotate, etc.) large sets of texts. This kind of human coding forms an important part of social science research, yet the coding process is both resource intensive and highly variable from…

Artificial Intelligence · Computer Science 2023-06-06 Christopher Michael Rytting , Taylor Sorensen , Lisa Argyle , Ethan Busby , Nancy Fulda , Joshua Gubler , David Wingate

Large Language Models (LLMs) like ChatGPT and GPT-4 are versatile and capable of addressing a diverse range of tasks. However, general LLMs, which are developed on open-domain data, may lack the domain-specific knowledge essential for tasks…

Computation and Language · Computer Science 2024-03-28 Haitao Li , Qingyao Ai , Jia Chen , Qian Dong , Zhijing Wu , Yiqun Liu , Chong Chen , Qi Tian

In recent years, advancements in natural language processing (NLP) have been fueled by deep learning techniques, particularly through the utilization of powerful computing resources like GPUs and TPUs. Models such as BERT and GPT-3, trained…

Computation and Language · Computer Science 2024-02-27 Shuning Huo , Yafei Xiang , Hanyi Yu , Mengran Zhu , Yulu Gong

New medical treatment development requires multiple phases of clinical trials. Despite the significant human and financial costs of bringing a drug to market, less than 20% of drugs in testing will make it from the first phase to final…

Computation and Language · Computer Science 2024-08-21 Michael Reinisch , Jianfeng He , Chenxi Liao , Sauleh Ahmad Siddiqui , Bei Xiao

In this paper, we present HuatuoGPT, a large language model (LLM) for medical consultation. The core recipe of HuatuoGPT is to leverage both \textit{distilled data from ChatGPT} and \textit{real-world data from doctors} in the supervised…

Computation and Language · Computer Science 2023-05-25 Hongbo Zhang , Junying Chen , Feng Jiang , Fei Yu , Zhihong Chen , Jianquan Li , Guiming Chen , Xiangbo Wu , Zhiyi Zhang , Qingying Xiao , Xiang Wan , Benyou Wang , Haizhou Li

Generative Large Language Models (gLLMs), such as ChatGPT, are increasingly being used in communication research for content analysis. Studies show that gLLMs can outperform both crowd workers and trained coders, such as research…

Artificial Intelligence · Computer Science 2025-10-29 Daria Kravets-Meinke , Hannah Schmid-Petri , Sonja Niemann , Ute Schmid

Diagnosing language disorders associated with autism is a complex challenge, often hampered by the subjective nature and variability of traditional assessment methods. Traditional diagnostic methods not only require intensive human effort…

Computation and Language · Computer Science 2024-12-02 Chuanbo Hu , Wenqi Li , Mindi Ruan , Xiangxu Yu , Shalaka Deshpande , Lynn K. Paul , Shuo Wang , Xin Li

Clinical calculators are widely used, and large language models (LLMs) make it possible to engage them using natural language. We demonstrate a purpose-built chatbot that leverages software implementations of verifiable clinical calculators…

Quantitative Methods · Quantitative Biology 2025-03-25 Niranjan Kumar , Farid Seifi , Marisa Conte , Allen Flynn
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