Results 61 to 70 of about 390 (153)

Utilizing large language models for EFL essay grading: An examination of reliability and validity in rubric‐based assessments

British Journal of Educational Technology, Volume 56, Issue 1, Page 150-166, January 2025.
Abstract This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student
Fatih Yavuz, Özgür Çelik, Gamze Yavaş Çelik   +2 more
wiley   +1 more source

SHAtropE—A Regional Gridded ZTD Model for China and the Surrounding Areas

Remote Sensing, 2020
A regional zenith tropospheric delay (ZTD) empirical model, referred to as SHAtropE (SHanghai Astronomical observatory tropospheric delay model—Extended), is developed and provides tropospheric propagation delay corrections for users in China and ...
Junping Chen, Jungang Wang, Ahao Wang, Junsheng Ding, Yize Zhang   +4 more
doaj   +1 more source

Privacy preserving large language models: ChatGPT case study based vision and framework

IET Blockchain, Volume 4, Issue S1, Page 706-724, December 2024.
We propose the conceptual model called PrivChatGPT, a privacy‐preserving model for LLMs that consists of two main components, that is, preserving user privacy during the data curation/pre‐processing together with preserving private context and the private training process for large‐scale data.
Imdad Ullah, Najm Hassan, Sukhpal Singh Gill, Basem Suleiman, Tariq Ahamed Ahanger, Zawar Shah, Junaid Qadir, Salil S. Kanhere   +7 more
wiley   +1 more source

Comparative analysis of paraphrasing performance of ChatGPT, GPT‐3, and T5 language models using a new ChatGPT generated dataset: ParaGPT

Expert Systems, Volume 41, Issue 11, November 2024.
Abstract Paraphrase generation is a fundamental natural language processing (NLP) task that refers to the process of generating a well‐formed and coherent output sentence that exhibits both syntactic and/or lexical diversity from the input sentence, while simultaneously ensuring that the semantic similarity between the two sentences is preserved ...
Meltem Kurt Pehlivanoğlu, Robera Tadesse Gobosho, Muhammad Abdan Syakura, Vimal Shanmuganathan, Luis de‐la‐Fuente‐Valentín   +4 more
wiley   +1 more source

How to optimize the systematic review process using AI tools

JCPP Advances, Volume 4, Issue 2, June 2024.
Abstract Systematic reviews are a cornerstone for synthesizing the available evidence on a given topic. They simultaneously allow for gaps in the literature to be identified and provide direction for future research. However, due to the ever‐increasing volume and complexity of the available literature, traditional methods for conducting systematic ...
Nicholas Fabiano, Arnav Gupta, Nishaant Bhambra, Brandon Luu, Stanley Wong, Muhammad Maaz, Jess G. Fiedorowicz, Andrew L. Smith, Marco Solmi   +8 more
wiley   +1 more source

How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media data

Addiction, Volume 119, Issue 5, Page 951-959, May 2024.
Abstract A vast amount of media‐related text data is generated daily in the form of social media posts, news stories or academic articles. These text data provide opportunities for researchers to analyse and understand how substance‐related issues are being discussed. The main methods to analyse large text data (content analyses or specifically trained
Benjamin Riordan, Abraham Albert Bonela, Zhen He, Aiden Nibali, Dan Anderson‐Luxford, Emmanuel Kuntsche   +5 more
wiley   +1 more source

Be Sure to Use the Same Writing Style: Applying Authorship Verification on Large-Language-Model-Generated Texts

Applied Sciences
Recently, there have been significant advances and wide-scale use of generative AI in natural language generation. Models such as OpenAI’s GPT3 and Meta’s LLaMA are widely used in chatbots, to summarize documents, and to generate creative content.
Janith Weerasinghe, Ovendra Seepersaud, Genesis Smothers, Julia Jose, Rachel Greenstadt   +4 more
doaj   +1 more source

An improved global pressure and zenith wet delay model with optimized vertical correction considering the spatiotemporal variability in multiple height-scale factors [PDF]

Geoscientific Model Development
Atmospheric pressure and zenith wet delay (ZWD) are essential for global navigation satellite system (GNSS) tropospheric correction and precipitable water vapor (PWV) retrieval. As the development progresses of real-time GNSS kinematic technology, moving
C. Jiang, C. Jiang, C. Jiang, X. Gao, H. Zhu, S. Wang, S. Liu, S. Chen, G. Liu   +8 more
doaj   +1 more source

Current applications and future potential of ChatGPT in radiology: A systematic review

Journal of Medical Imaging and Radiation Oncology, Volume 68, Issue 3, Page 257-264, April 2024.
Summary This study aimed to comprehensively evaluate the current utilization and future potential of ChatGPT, an AI‐based chat model, in the field of radiology. The primary focus is on its role in enhancing decision‐making processes, optimizing workflow efficiency, and fostering interdisciplinary collaboration and teaching within healthcare.
Hugo C Temperley, Niall J O'Sullivan, Benjamin M Mac Curtain, Alison Corr, James F Meaney, Michael E Kelly, Ian Brennan   +6 more
wiley   +1 more source

Text‐based sentiment analysis in finance: Synthesising the existing literature and exploring future directions

Intelligent Systems in Accounting, Finance and Management, Volume 31, Issue 1, March 2024.
Summary Advances in Deep Learning have drastically improved the abilities of Natural Language Processing (NLP) research, creating new state‐of‐the‐art benchmarks. Two research streams at the forefront of NLP analysis are transformer architecture and multimodal analysis.
Andrew Todd, James Bowden, Yashar Moshfeghi   +2 more
wiley   +1 more source