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This study investigates whether professional translators without prior specialized training can reliably identify short stories generated in Italian by artificial intelligence (AI). Sixty-nine translators took part in an in-person…

计算与语言 · 计算机科学 2026-05-05 Michael Farrell

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…

While extensive research has focused on ChatGPT in recent years, very few studies have systematically quantified and compared linguistic features between human-written and artificial intelligence (AI)-generated language. This exploratory…

计算与语言 · 计算机科学 2026-02-18 Georgios P. Georgiou

This study investigates whether individuals can learn to accurately discriminate between human-written and AI-produced texts when provided with immediate feedback, and if they can use this feedback to recalibrate their self-perceived…

计算与语言 · 计算机科学 2025-10-17 Jiří Milička , Anna Marklová , Ondřej Drobil , Eva Pospíšilová

ChatGPT is a conversational artificial intelligence that is a member of the generative pre-trained transformer of the large language model family. This text generative model was fine-tuned by both supervised learning and reinforcement…

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

While recent advancements in the capabilities and widespread accessibility of generative language models, such as ChatGPT (OpenAI, 2022), have brought about various benefits by generating fluent human-like text, the task of distinguishing…

计算与语言 · 计算机科学 2023-09-15 Mahdi Dhaini , Wessel Poelman , Ege Erdogan

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…

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

With the rise of advanced natural language models like GPT, distinguishing between human-written and GPT-generated text has become increasingly challenging and crucial across various domains, including academia. The long-standing issue of…

计算与语言 · 计算机科学 2025-10-14 A. Selvioğlu , V. Adanova , M. Atagoziev

The potential of artificial intelligence (AI)-based large language models (LLMs) holds considerable promise in revolutionizing education, research, and practice. However, distinguishing between human-written and AI-generated text has become…

计算与语言 · 计算机科学 2023-11-14 Kadhim Hayawi , Sakib Shahriar , Sujith Samuel Mathew

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

Our work addresses the critical issue of distinguishing text generated by Large Language Models (LLMs) from human-produced text, a task essential for numerous applications. Despite ongoing debate about the feasibility of such…

计算与语言 · 计算机科学 2023-10-04 Souradip Chakraborty , Amrit Singh Bedi , Sicheng Zhu , Bang An , Dinesh Manocha , Furong Huang

As text generated by large language models proliferates, it becomes vital to understand how humans engage with such text, and whether or not they are able to detect when the text they are reading did not originate with a human writer. Prior…

计算与语言 · 计算机科学 2022-12-27 Liam Dugan , Daphne Ippolito , Arun Kirubarajan , Sherry Shi , Chris Callison-Burch

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

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

Large Language Models (LLMs) possess an extraordinary capability to produce text that is not only coherent and contextually relevant but also strikingly similar to human writing. They adapt to various styles and genres, producing content…

计算与语言 · 计算机科学 2025-07-08 Chinnappa Guggilla , Budhaditya Roy , Trupti Ramdas Chavan , Abdul Rahman , Edward Bowen

Large language models (LLMs) have gained popularity in various fields for their exceptional capability of generating human-like text. Their potential misuse has raised social concerns about plagiarism in academic contexts. However,…

人机交互 · 计算机科学 2023-06-02 Luoxuan Weng , Minfeng Zhu , Kam Kwai Wong , Shi Liu , Jiashun Sun , Hang Zhu , Dongming Han , Wei Chen
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