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The growing popularity of neural machine translation (NMT) and LLMs represented by ChatGPT underscores the need for a deeper understanding of their distinct characteristics and relationships. Such understanding is crucial for language…

Computation and Language · Computer Science 2024-10-15 Zhaokun Jiang , Qianxi Lv , Ziyin Zhang , Lei Lei

Prompting is a mainstream paradigm for adapting large language models to specific natural language processing tasks without modifying internal parameters. Therefore, detailed supplementary knowledge needs to be integrated into external…

Computation and Language · Computer Science 2024-12-03 Kaiyan Chang , Songcheng Xu , Chenglong Wang , Yingfeng Luo , Xiaoqian Liu , Tong Xiao , Jingbo Zhu

ChatGPT, a large-scale language model based on the advanced GPT-3.5 architecture, has shown remarkable potential in various Natural Language Processing (NLP) tasks. However, there is currently a dearth of comprehensive study exploring its…

Computation and Language · Computer Science 2023-04-05 Tao Fang , Shu Yang , Kaixin Lan , Derek F. Wong , Jinpeng Hu , Lidia S. Chao , Yue Zhang

The launch of ChatGPT in November 2022 precipitated a panic among some educators while prompting qualified enthusiasm from others. Under the umbrella term Generative AI, ChatGPT is an example of a range of technologies for the delivery of…

The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility of using ChatGPT in experiments on using ChatGPT to…

Computation and Language · Computer Science 2024-10-22 Qing Lyu , Josh Tan , Michael E. Zapadka , Janardhana Ponnatapura , Chuang Niu , Kyle J. Myers , Ge Wang , Christopher T. Whitlow

Pretrained Language Models (PLMs) harbor inherent social biases that can result in harmful real-world implications. Such social biases are measured through the probability values that PLMs output for different social groups and attributes…

Computation and Language · Computer Science 2023-12-07 Rafal Kocielnik , Shrimai Prabhumoye , Vivian Zhang , Roy Jiang , R. Michael Alvarez , Anima Anandkumar

Spurred by advancements in scale, large language models (LLMs) have demonstrated the ability to perform a variety of natural language processing (NLP) tasks zero-shot -- i.e., without adaptation on downstream data. Recently, the debut of…

Computation and Language · Computer Science 2023-11-21 Chengwei Qin , Aston Zhang , Zhuosheng Zhang , Jiaao Chen , Michihiro Yasunaga , Diyi Yang

This paper takes an exploratory approach to examine the use of ChatGPT for pattern mining. It proposes an eight-step collaborative process that combines human insight with AI capabilities to extract patterns from known uses. The paper…

Artificial Intelligence · Computer Science 2024-12-24 Michael Weiss

There have been many recent investigations into prompt-based training of transformer language models for new text genres in low-resource settings. The prompt-based training approach has been found to be effective in generalizing pre-trained…

Computation and Language · Computer Science 2023-06-13 Jennifer D'Souza , Moussab Hrou , Sören Auer

ChatGPT is a chatbot that can answer text prompts fairly accurately, even performing very well on postgraduate-level questions. Many educators have found that their take-home or remote tests and exams are vulnerable to ChatGPT-based…

Computation and Language · Computer Science 2024-02-26 Shanker Ram , Chen Qian

Prompt engineering is crucial for achieving reliable and effective outputs from large language models (LLMs), but its design requires specialized knowledge of prompting techniques and a deep understanding of target tasks. To address this…

Computation and Language · Computer Science 2025-10-22 Yohei Ikenoue , Hitomi Tashiro , Shigeru Kuroyanagi

Visual prompt tuning offers significant advantages for adapting pre-trained visual foundation models to specific tasks. However, current research provides limited insight into the interpretability of this approach, which is essential for…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Yubin Wang , Xinyang Jiang , De Cheng , Xiangqian Zhao , Zilong Wang , Dongsheng Li , Cairong Zhao

Large language models (LLMs) that have been trained on multilingual but not parallel text exhibit a remarkable ability to translate between languages. We probe this ability in an in-depth study of the pathways language model (PaLM), which…

Computation and Language · Computer Science 2023-06-27 David Vilar , Markus Freitag , Colin Cherry , Jiaming Luo , Viresh Ratnakar , George Foster

Large language models, e.g. ChatGPT are currently contributing enormously to make artificial intelligence even more popular, especially among the general population. However, such chatbot models were developed as tools to support natural…

Artificial Intelligence · Computer Science 2025-02-07 Jianlong Zhou , Heimo Müller , Andreas Holzinger , Fang Chen

Addressing the global challenge of breast cancer, this research explores the fusion of generative AI, focusing on ChatGPT 3.5 turbo model, and the intricacies of breast cancer risk assessment. The research aims to evaluate ChatGPT's…

Computation and Language · Computer Science 2024-06-04 Yousef Khan , Ahmed Abdeen Hamed

In this paper, we demonstrate how studying the rhetorics of ChatGPT prompt writing on social media can promote critical AI literacies. Prompt writing is the process of writing instructions for generative AI tools like ChatGPT to elicit…

Computers and Society · Computer Science 2025-11-04 Anuj Gupta , Ann Shivers-McNair

The growing integration of AI tools in software development, particularly Large Language Models (LLMs) such as ChatGPT, has revolutionized how developers approach coding tasks. However, achieving high-quality code often requires iterative…

Software Engineering · Computer Science 2025-06-03 Sophia DiCuffa , Amanda Zambrana , Priyanshi Yadav , Sashidhar Madiraju , Khushi Suman , Eman Abdullah AlOmar

The use of large language model (LLM)-powered chatbots, such as ChatGPT, has become popular across various domains, supporting a range of tasks and processes. However, due to the intrinsic complexity of LLMs, effective prompting is more…

Explanatory inference is the creation and evaluation of hypotheses that provide explanations, and is sometimes known as abduction or abductive inference. Generative AI is a new set of artificial intelligence models based on novel algorithms…

Artificial Intelligence · Computer Science 2024-09-20 Paul Thagard

ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes of data. In this article, leading scientists, researchers and engineers discuss the transformative effects of ChatGPT on…