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The recent large language models (LLMs), e.g., ChatGPT, have been able to generate human-like and fluent responses when provided with specific instructions. While admitting the convenience brought by technological advancement, educators…

Computation and Language · Computer Science 2023-12-27 Zijie Zeng , Lele Sha , Yuheng Li , Kaixun Yang , Dragan Gašević , Guanliang Chen

Large language models have catalyzed an unprecedented wave in code generation. While achieving significant advances, they blur the distinctions between machine- and human-authored source code, causing integrity and authenticity issues of…

Software Engineering · Computer Science 2024-07-31 Yuling Shi , Hongyu Zhang , Chengcheng Wan , Xiaodong Gu

The burgeoning progress in the field of Large Language Models (LLMs) heralds significant benefits due to their unparalleled capacities. However, it is critical to acknowledge the potential misuse of these models, which could give rise to a…

Computation and Language · Computer Science 2023-08-07 Haolan Zhan , Xuanli He , Qiongkai Xu , Yuxiang Wu , Pontus Stenetorp

Generative AI systems such as ChatGPT have a disruptive effect on learning and assessment. Computer science requires practice to develop skills in problem solving and programming that are traditionally developed using assignments.…

Computers and Society · Computer Science 2023-11-29 Kevin Wang , Seth Akins , Abdallah Mohammed , Ramon Lawrence

Following the universal availability of generative AI systems with the release of ChatGPT, automatic detection of deceptive text created by Large Language Models has focused on domains such as academic plagiarism and "fake news". However,…

Computation and Language · Computer Science 2024-12-23 Andrea Cristina McGlinchey , Peter J Barclay

As natural language models like ChatGPT become increasingly prevalent in applications and services, the need for robust and accurate methods to detect their output is of paramount importance. In this paper, we present GPT Reddit Dataset…

Computation and Language · Computer Science 2024-03-13 Zubair Qazi , William Shiao , Evangelos E. Papalexakis

The rise in malicious usage of large language models, such as fake content creation and academic plagiarism, has motivated the development of approaches that identify AI-generated text, including those based on watermarking or outlier…

Computation and Language · Computer Science 2023-10-19 Kalpesh Krishna , Yixiao Song , Marzena Karpinska , John Wieting , Mohit Iyyer

Machine generated text is increasingly difficult to distinguish from human authored text. Powerful open-source models are freely available, and user-friendly tools that democratize access to generative models are proliferating. ChatGPT,…

Computation and Language · Computer Science 2023-05-09 Evan Crothers , Nathalie Japkowicz , Herna Viktor

Recent neural language models have taken a significant step forward in producing remarkably controllable, fluent, and grammatical text. Although studies have found that AI-generated text is not distinguishable from human-written text for…

Computation and Language · Computer Science 2023-02-14 Yongqiang Ma , Jiawei Liu , Fan Yi , Qikai Cheng , Yong Huang , Wei Lu , Xiaozhong Liu

With the launch of ChatGPT, large language models (LLMs) have attracted global attention. In the realm of article writing, LLMs have witnessed extensive utilization, giving rise to concerns related to intellectual property protection,…

Computation and Language · Computer Science 2024-06-14 Ying Zhou , Ben He , Le Sun

The recent proliferation of AI-generated content has prompted significant interest in developing reliable detection methods. This study explores techniques for identifying AI-generated text through sentence-level evaluation within hybrid…

Computation and Language · Computer Science 2024-12-30 Dima Galat

The rapid proliferation of Large Language Models has significantly increased the difficulty of distinguishing between human-written and AI generated texts, raising critical issues across academic, editorial, and social domains. This paper…

Computation and Language · Computer Science 2026-03-20 Cristian Buttaro , Irene Amerini

This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content that has been modified using techniques designed to evade detection by these tools (n=805). The results…

Computers and Society · Computer Science 2024-09-10 Mike Perkins , Jasper Roe , Binh H. Vu , Darius Postma , Don Hickerson , James McGaughran , Huy Q. Khuat

As large language models (LLMs) become increasingly commonplace, concern about distinguishing between human and AI text increases as well. The growing power of these models is of particular concern to teachers, who may worry that students…

Artificial Intelligence · Computer Science 2024-04-18 James Weichert , Chinecherem Dimobi

Large language models (LLMs) have opened up enormous opportunities while simultaneously posing ethical dilemmas. One of the major concerns is their ability to create text that closely mimics human writing, which can lead to potential…

Computation and Language · Computer Science 2023-11-15 Zhen Guo , Shangdi Yu

Educators are increasingly concerned about the usage of Large Language Models (LLMs) such as ChatGPT in programming education, particularly regarding the potential exploitation of imperfections in Artificial Intelligence Generated Content…

There have been many recent advances in the fields of generative Artificial Intelligence (AI) and Large Language Models (LLM), with the Generative Pre-trained Transformer (GPT) model being a leading "chatbot." LLM-based chatbots have become…

Computation and Language · Computer Science 2024-08-12 Gauri Anil Godghase , Rishit Agrawal , Tanush Obili , Mark Stamp

The widespread adoption of Large Language Models and publicly available ChatGPT has marked a significant turning point in the integration of Artificial Intelligence into people's everyday lives. The academic community has taken notice of…

Large language models (LLMs), such as ChatGPT released by OpenAI, have attracted significant attention from both industry and academia due to their demonstrated ability to generate high-quality content for various tasks. Despite the…

Software Engineering · Computer Science 2024-11-08 Xiaodan Xu , Chao Ni , Xinrong Guo , Shaoxuan Liu , Xiaoya Wang , Kui Liu , Xiaohu Yang

Generative AI is transforming the educational landscape, raising significant concerns about cheating. Despite the widespread use of multiple-choice questions in assessments, the detection of AI cheating in MCQ-based tests has been almost…

Artificial Intelligence · Computer Science 2024-12-13 Alona Strugatski , Giora Alexandron