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ChatGPT has enabled access to AI-generated writing for the masses, and within just a few months, this product has disrupted the knowledge economy, initiating a culture shift in the way people work, learn, and write. The need to discriminate…

机器学习 · 计算机科学 2023-03-30 Heather Desaire , Aleesa E. Chua , Madeline Isom , Romana Jarosova , David Hua

The rapid advancement of Large Language Models (LLMs) has ushered in an era where AI-generated text is increasingly indistinguishable from human-generated content. Detecting AI-generated text has become imperative to combat misinformation,…

计算与语言 · 计算机科学 2024-06-12 Ye Zhang , Qian Leng , Mengran Zhu , Rui Ding , Yue Wu , Jintong Song , Yulu Gong

In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve…

机器学习 · 计算机科学 2024-07-04 Marc Oedingen , Raphael C. Engelhardt , Robin Denz , Maximilian Hammer , Wolfgang Konen

Generative language models, such as ChatGPT, have garnered attention for their ability to generate human-like writing in various fields, including academic research. The rapid proliferation of generated texts has bolstered the need for…

计算与语言 · 计算机科学 2023-12-19 Vikas Kumar , Amisha Bharti , Devanshu Verma , Vasudha Bhatnagar

Large language models (LLMs) have advanced to a point that even humans have difficulty discerning whether a text was generated by another human, or by a computer. However, knowing whether a text was produced by human or artificial…

计算与语言 · 计算机科学 2025-04-15 Kathleen C. Fraser , Hillary Dawkins , Svetlana Kiritchenko

Due to the rapid development of large language models, people increasingly often encounter texts that may start as written by a human but continue as machine-generated. Detecting the boundary between human-written and machine-generated…

The growing capability of large language models to produce fluent, contextually coherent text has created mounting pressure on the systems and institutions responsible for ensuring the authenticity of digital content. Advanced generative…

ChatGPT has the ability to generate grammatically flawless and seemingly-human replies to different types of questions from various domains. The number of its users and of its applications is growing at an unprecedented rate. Unfortunately,…

计算与语言 · 计算机科学 2023-02-01 Sandra Mitrović , Davide Andreoletti , Omran Ayoub

Large language models (LLMs) can produce text that closely resembles human writing. This capability raises concerns about misuse, including disinformation and content manipulation. Detecting AI-generated text is essential to maintain…

Recently, generative AIs like ChatGPT have become available to the wide public. These tools can for instance be used by students to generate essays or whole theses. But how does a teacher know whether a text is written by a student or an…

计算与语言 · 计算机科学 2023-11-14 Lorenz Mindner , Tim Schlippe , Kristina Schaaff

Recent advances in generative pre-trained transformer large language models have emphasised the potential risks of unfair use of artificial intelligence (AI) generated content in an academic environment and intensified efforts in searching…

Large Language Models (LLMs) have revolutionized the domain of natural language processing (NLP) with remarkable capabilities of generating human-like text responses. However, despite these advancements, several works in the existing…

计算与语言 · 计算机科学 2023-10-25 Soumya Suvra Ghosal , Souradip Chakraborty , Jonas Geiping , Furong Huang , Dinesh Manocha , Amrit Singh Bedi

This study seeks to enhance academic integrity by providing tools to detect AI-generated content in student work using advanced technologies. The findings promote transparency and accountability, helping educators maintain ethical standards…

计算与语言 · 计算机科学 2025-01-07 Ayat A. Najjar , Huthaifa I. Ashqar , Omar A. Darwish , Eman Hammad

AI generated content (AIGC) presents considerable challenge to educators around the world. Instructors need to be able to detect such text generated by large language models, either with the naked eye or with the help of some tools. There…

计算与语言 · 计算机科学 2023-09-26 Yikang Liu , Ziyin Zhang , Wanyang Zhang , Shisen Yue , Xiaojing Zhao , Xinyuan Cheng , Yiwen Zhang , Hai Hu

In this paper, we study how well humans can detect text generated by commercial LLMs (GPT-4o, Claude, o1). We hire annotators to read 300 non-fiction English articles, label them as either human-written or AI-generated, and provide…

计算与语言 · 计算机科学 2025-05-21 Jenna Russell , Marzena Karpinska , Mohit Iyyer

The development of Generative AI Large Language Models (LLMs) raised the alarm regarding identifying content produced through generative AI or humans. In one case, issues arise when students heavily rely on such tools in a manner that can…

计算与语言 · 计算机科学 2025-01-07 Ayat Najjar , Huthaifa I. Ashqar , Omar Darwish , Eman Hammad

Since ChatGPT has emerged as a major AIGC model, providing high-quality responses across a wide range of applications (including software development and maintenance), it has attracted much interest from many individuals. ChatGPT has great…

计算与语言 · 计算机科学 2023-10-24 Arslan Akram

The rapid development of Artificial Intelligence (AI) has led to the creation of powerful text generation models, such as large language models (LLMs), which are widely used for diverse applications. However, concerns surrounding…

人工智能 · 计算机科学 2024-12-06 Fnu Neha , Deepshikha Bhati , Deepak Kumar Shukla , Angela Guercio , Ben Ward

Nowadays, the usage of Large Language Models (LLMs) has increased, and LLMs have been used to generate texts in different languages and for different tasks. Additionally, due to the participation of remarkable companies such as Google and…

计算与语言 · 计算机科学 2024-02-26 Mohammad Heydari Rad , Farhan Farsi , Shayan Bali , Romina Etezadi , Mehrnoush Shamsfard

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…

软件工程 · 计算机科学 2024-11-08 Xiaodan Xu , Chao Ni , Xinrong Guo , Shaoxuan Liu , Xiaoya Wang , Kui Liu , Xiaohu Yang