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The introduction of ChatGPT has garnered widespread attention in both academic and industrial communities. ChatGPT is able to respond effectively to a wide range of human questions, providing fluent and comprehensive answers that…

计算与语言 · 计算机科学 2023-01-19 Biyang Guo , Xin Zhang , Ziyuan Wang , Minqi Jiang , Jinran Nie , Yuxuan Ding , Jianwei Yue , Yupeng Wu

Artificial intelligence is gaining traction in more ways than ever before. The popularity of language models and AI-based businesses has soared since ChatGPT was made available to the general public via OpenAI. It is becoming increasingly…

计算机与社会 · 计算机科学 2023-07-31 Prabin Sharma , Kisan Thapa , Dikshya Thapa , Prastab Dhakal , Mala Deep Upadhaya , Santosh Adhikari , Salik Ram Khanal

The launch of ChatGPT in November 2022 marked the beginning of a new era in AI, the availability of generative AI tools for everyone to use. ChatGPT and other similar chatbots boast a wide range of capabilities from answering student…

计算与语言 · 计算机科学 2024-09-04 Yanchen Wang , Lisa Singh

This report presents a study on the emotional dialogue capability of ChatGPT, an advanced language model developed by OpenAI. The study evaluates the performance of ChatGPT on emotional dialogue understanding and generation through a series…

计算与语言 · 计算机科学 2023-04-20 Weixiang Zhao , Yanyan Zhao , Xin Lu , Shilong Wang , Yanpeng Tong , Bing Qin

Writing survey questions that easily and accurately convey their intent to a variety of respondents is a demanding and high-stakes task. Despite the extensive literature on best practices, the number of considerations to keep in mind is…

统计方法学 · 统计学 2025-09-11 Erica Ann Metheney , Lauren Yehle

This study examines the rhetorical and linguistic features of argumentative texts generated by ChatGPT on ethically nuanced topics and investigates their persuasive impact on human readers.Through a user study involving 62 participants and…

人机交互 · 计算机科学 2025-08-14 Daniel Raffini , Agnese Macori , Lorenzo Porcaro , Tiziana Catarci , Marco Angelini

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…

软件工程 · 计算机科学 2023-07-18 Fardin Ahsan Sakib , Saadat Hasan Khan , A. H. M. Rezaul Karim

The challenge of formal proof generation has a rich history, but with modern techniques, we may finally be at the stage of making actual progress in real-life mathematical problems. This paper explores the integration of ChatGPT and basic…

计算机科学中的逻辑 · 计算机科学 2025-02-20 Sangjun Han , Taeil Hur , Youngmi Hur , Kathy Sangkyung Lee , Myungyoon Lee , Hyojae Lim

This study explores the novice programmers' intention to use chat generative pretrained transformer (ChatGPT) for programming tasks with emphasis on performance expectancy (PE), risk-reward appraisal (RRA), and decision-making (DM).…

计算机与社会 · 计算机科学 2026-01-13 John Paul P. Miranda , Jaymark A. Yambao

Purpose: Assess whether ChatGPT 4.0 is accurate enough to perform research evaluations on journal articles to automate this time-consuming task. Design/methodology/approach: Test the extent to which ChatGPT-4 can assess the quality of…

数字图书馆 · 计算机科学 2024-05-01 Mike Thelwall

Online news platforms commonly employ personalized news recommendation methods to assist users in discovering interesting articles, and many previous works have utilized language model techniques to capture user interests and understand…

信息检索 · 计算机科学 2023-06-21 Xinyi Li , Yongfeng Zhang , Edward C. Malthouse

We asked ChatGPT to participate in an undergraduate computer science exam on ''Algorithms and Data Structures''. The program was evaluated on the entire exam as posed to the students. We hand-copied its answers onto an exam sheet, which was…

计算与语言 · 计算机科学 2023-03-23 Sebastian Bordt , Ulrike von Luxburg

The capability of Large Language Models (LLMs) like ChatGPT to comprehend user intent and provide reasonable responses has made them extremely popular lately. In this paper, we focus on assessing the overall ability of ChatGPT using 7…

计算与语言 · 计算机科学 2023-04-25 Bo Li , Gexiang Fang , Yang Yang , Quansen Wang , Wei Ye , Wen Zhao , Shikun Zhang

Large language models have been demonstrated to be valuable in different fields. ChatGPT, developed by OpenAI, has been trained using massive amounts of data and simulates human conversation by comprehending context and generating…

计算与语言 · 计算机科学 2023-04-05 Ali Borji

Recently, researchers have made considerable improvements in dialogue systems with the progress of large language models (LLMs) such as ChatGPT and GPT-4. These LLM-based chatbots encode the potential biases while retaining disparities that…

计算与语言 · 计算机科学 2023-10-18 Hsuan Su , Cheng-Chu Cheng , Hua Farn , Shachi H Kumar , Saurav Sahay , Shang-Tse Chen , Hung-yi Lee

Background: The integration of artificial intelligence (AI) into daily life, particularly through chatbots utilizing natural language processing (NLP), presents both revolutionary potential and unique challenges. This intended to…

计算与语言 · 计算机科学 2024-04-16 Gian Alexandre Michaelsen , Renato P. dos Santos

Large language models, such as the well-known ChatGPT, have brought about an unexpected revolution in the field of artificial intelligence. On the one hand, they have numerous practical applications and enormous potential still to be…

计算与语言 · 计算机科学 2025-02-26 Carlos Gómez-Rodríguez

ChatGPT has been increasingly used in computer science, offering efficient support across software development tasks. While it helps students navigate programming challenges, its use also raises concerns about academic integrity and…

软件工程 · 计算机科学 2025-11-19 Daihan Xu , Diana Martin

This paper aims at a brief overview of the main impact of ChatGTP in the scientific field of programming and learning/education in computer science. It lists, covers and documents from the literature the major issues that have been…

计算机与社会 · 计算机科学 2023-09-27 Christos-Nikolaos Anagnostopoulos

Large Language Models (LLMs) that undergo recursive training on synthetically generated data are susceptible to model collapse, a phenomenon marked by the generation of meaningless output. Existing research has examined this issue from…