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This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4) research, state-of-the-art large language models (LLM) from the GPT series, and their prospective applications across diverse domains. Indeed, key innovations…

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…

The recent success of large language models (LLMs) has paved the way for their adoption in the high-stakes domain of healthcare. Specifically, the application of LLMs in patient-trial matching, which involves assessing patient eligibility…

Artificial Intelligence · Computer Science 2023-12-18 Mauro Nievas , Aditya Basu , Yanshan Wang , Hrituraj Singh

Recent studies have demonstrated promising performance of ChatGPT and GPT-4 on several medical domain tasks. However, none have assessed its performance using a large-scale real-world electronic health record database, nor have evaluated…

Computation and Language · Computer Science 2023-07-18 Jingqing Zhang , Kai Sun , Akshay Jagadeesh , Mahta Ghahfarokhi , Deepa Gupta , Ashok Gupta , Vibhor Gupta , Yike Guo

Large Language Models (LLMs), such as ChatGPT and GPT-4, have dramatically transformed natural language processing research and shown promising strides towards Artificial General Intelligence (AGI). Nonetheless, the high costs associated…

Computation and Language · Computer Science 2024-02-26 Yiming Cui , Ziqing Yang , Xin Yao

Adapting a language model into a specific domain, a.k.a `domain adaption', is a common practice when specialized knowledge, e.g. medicine, is not encapsulated in a general language model like Llama2. The challenge lies in the heterogeneity…

Large Language Models (LLMs) have drawn a lot of attention due to their strong performance on a wide range of natural language tasks, since the release of ChatGPT in November 2022. LLMs' ability of general-purpose language understanding and…

Computation and Language · Computer Science 2025-03-25 Shervin Minaee , Tomas Mikolov , Narjes Nikzad , Meysam Chenaghlu , Richard Socher , Xavier Amatriain , Jianfeng Gao

Large Language Models (LLMs) have shown promising results on machine translation for high resource language pairs and domains. However, in specialised domains (e.g. medical) LLMs have shown lower performance compared to standard neural…

Computation and Language · Computer Science 2025-07-31 Miguel Rios

Participant recruitment based on unstructured medical texts such as clinical notes and radiology reports has been a challenging yet important task for the cohort establishment in clinical research. Recently, Large Language Models (LLMs)…

Computation and Language · Computer Science 2023-07-24 Zihan Guan , Zihao Wu , Zhengliang Liu , Dufan Wu , Hui Ren , Quanzheng Li , Xiang Li , Ninghao Liu

Grammatical error correction aims to correct ungrammatical sentences automatically. Recently, some work has demonstrated the excellent capabilities of closed-source Large Language Models (LLMs, e.g., ChatGPT) in grammatical error…

Computation and Language · Computer Science 2023-08-21 Yaxin Fan , Feng Jiang , Peifeng Li , Haizhou Li

ChatGPT and other general large language models (LLMs) have achieved remarkable success, but they have also raised concerns about the misuse of AI-generated texts. Existing AI-generated text detection models, such as based on BERT and…

Computation and Language · Computer Science 2024-02-05 Rongsheng Wang , Haoming Chen , Ruizhe Zhou , Han Ma , Yaofei Duan , Yanlan Kang , Songhua Yang , Baoyu Fan , Tao Tan

Purpose: To assess the alignment of GPT-4-based evaluation to human clinician experts, for the evaluation of responses to ophthalmology-related patient queries generated by fine-tuned LLM chatbots. Methods: 400 ophthalmology questions and…

Artificial Intelligence · Computer Science 2024-02-16 Ting Fang Tan , Kabilan Elangovan , Liyuan Jin , Yao Jie , Li Yong , Joshua Lim , Stanley Poh , Wei Yan Ng , Daniel Lim , Yuhe Ke , Nan Liu , Daniel Shu Wei Ting

As Large Language Models (LLMs) are predictive models building their response based on the words in the prompts, there is a risk that small talk and irrelevant information may alter the response and the suggestion given. Therefore, this…

Computation and Language · Computer Science 2023-09-19 Myriam Safrai , Amos Azaria

Purpose: Enhanced health literacy has been linked to better health outcomes; however, few interventions have been studied. We investigate whether large language models (LLMs) can serve as a medium to improve health literacy in children and…

Computation and Language · Computer Science 2023-11-17 Kanhai S. Amin , Linda Mayes , Pavan Khosla , Rushabh Doshi

The current generation of large language models (LLMs) is typically designed for broad, general-purpose applications, while domain-specific LLMs, especially in vertical fields like medicine, remain relatively scarce. In particular, the…

The recent advancements in artificial intelligence highlight the potential of language models in psychological health support. While models trained on data from mental health service platform have achieved preliminary success, challenges…

Computation and Language · Computer Science 2024-03-26 Hongbin Na

Large-scale Pretrained Language Models (LLMs), such as ChatGPT and GPT4, have shown strong abilities in multilingual translations, without being explicitly trained on parallel corpora. It is interesting how the LLMs obtain their ability to…

Computation and Language · Computer Science 2024-04-16 Jiahuan Li , Hao Zhou , Shujian Huang , Shanbo Cheng , Jiajun Chen

This study compares the design practices and performance of ChatGPT 4.0, a large language model (LLM), against graduate engineering students in a 48-hour prototyping hackathon, based on a dataset comprising more than 100 prototypes. The LLM…

Human-Computer Interaction · Computer Science 2025-03-04 Daniel Nygård Ege , Henrik H. Øvrebø , Vegar Stubberud , Martin Francis Berg , Christer Elverum , Martin Steinert , Håvard Vestad

Recently, the development and progress of Large Language Models (LLMs) have amazed the entire Artificial Intelligence community. Benefiting from their emergent abilities, LLMs have attracted more and more researchers to study their…

Computation and Language · Computer Science 2024-10-28 Yinghui Li , Haojing Huang , Shirong Ma , Yong Jiang , Yangning Li , Feng Zhou , Hai-Tao Zheng , Qingyu Zhou

The strategic significance of Large Language Models (LLMs) in economic expansion, innovation, societal development, and national security has been increasingly recognized since the advent of ChatGPT. This study provides a comprehensive…

Computation and Language · Computer Science 2024-05-22 Zhenhui Jiang , Jiaxin Li , Yang Liu