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The rapid development of large language models has led to an increase in AI-generated text, with students increasingly using LLM-generated content as their own work, which violates academic integrity. This paper presents an evaluation of AI…

Computation and Language · Computer Science 2026-01-08 Adilkhan Alikhanov , Aidar Amangeldi , Diar Demeubay , Dilnaz Akhmetzhan , Nurbek Moldakhmetov , Omar Polat , Galymzhan Zharas

Recent advances in large language models (LLMs) have made it increasingly difficult to distinguish human-written text from AI-generated content. Many existing detectors train supervised neural classifiers that achieve strong in-distribution…

Computation and Language · Computer Science 2026-05-27 Pingfan Su , Kai Ye , Shijin Gong , Erhan Xu , Jin Zhu , Giulia Livieri , Chengchun Shi

The potentials of Generative-AI technologies like Large Language models (LLMs) to revolutionize education are undermined by ethical considerations around their misuse which worsens the problem of academic dishonesty. LLMs like GPT-4 and…

Machine Learning · Computer Science 2024-07-11 Suriya Prakash Jambunathan , Ashwath Shankarnarayan , Parijat Dube

Research on AI-generated text detection has presented a number of approaches to discern human from AI prose, some of which achieving high in-distribution performance. However, real-world applicability has stalled because their outputs are…

Artificial Intelligence · Computer Science 2026-05-28 Aldan Creo , Suraj Ranganath

The widespread adoption of Large Language Models (LLMs) has made the detection of AI-Generated text a pressing and complex challenge. Although many detection systems report high benchmark accuracy, their reliability in real-world settings…

Computation and Language · Computer Science 2026-04-23 Shushanta Pudasaini , Luis Miralles-Pechuán , David Lillis , Marisa Llorens Salvador

Tools that can generate computer code in response to inputs written in natural language, such as ChatGPT, pose an existential threat to Computer Science education in its current form, since students can now use these tools to solve…

Computers and Society · Computer Science 2025-07-10 Kaléu Delphino

This research prepares an automatic pipeline for generating reliable question-answer (Q&A) tests using AI chatbots. We automatically generated a GPT-4o-mini-based Q&A test for a Natural Language Processing course and evaluated its…

Computation and Language · Computer Science 2025-08-08 Anna Wróblewska , Bartosz Grabek , Jakub Świstak , Daniel Dan

This systematic review synthesized empirical evidence on human ability to distinguish generative artificial intelligence content from human produced content across text, image, and voice modalities. A structured search of Scopus identified…

Applications · Statistics 2026-04-07 Mark Louie F. Ramos

With the development of generative models like GPT-3, it is increasingly more challenging to differentiate generated texts from human-written ones. There is a large number of studies that have demonstrated good results in bot…

Computation and Language · Computer Science 2023-11-21 Vasilii Gromov , Quynh Nhu Dang

AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers…

Computation and Language · Computer Science 2026-04-28 Jenna Russell , Marzena Karpinska , Destiny Akinode , Katherine Thai , Bradley Emi , Max Spero , Mohit Iyyer

The rapid adoption of AI tools such as ChatGPT has significantly transformed academic practices, offering considerable benefits for both students and faculty in computing disciplines. These tools have been shown to enhance learning…

Computers and Society · Computer Science 2026-04-14 Hatem M. El-boghdadi , Toqeer Ali Syed , Ali Akarma , Qamar Wali

With the advent of fluent generative language models that can produce convincing utterances very similar to those written by humans, distinguishing whether a piece of text is machine-generated or human-written becomes more challenging and…

Computation and Language · Computer Science 2024-02-27 Niloofar Mireshghallah , Justus Mattern , Sicun Gao , Reza Shokri , Taylor Berg-Kirkpatrick

AI assistants are being increasingly used by students enrolled in higher education institutions. While these tools provide opportunities for improved teaching and education, they also pose significant challenges for assessment and learning…

Computers and Society · Computer Science 2024-11-28 Beatriz Borges , Negar Foroutan , Deniz Bayazit , Anna Sotnikova , Syrielle Montariol , Tanya Nazaretzky , Mohammadreza Banaei , Alireza Sakhaeirad , Philippe Servant , Seyed Parsa Neshaei , Jibril Frej , Angelika Romanou , Gail Weiss , Sepideh Mamooler , Zeming Chen , Simin Fan , Silin Gao , Mete Ismayilzada , Debjit Paul , Alexandre Schöpfer , Andrej Janchevski , Anja Tiede , Clarence Linden , Emanuele Troiani , Francesco Salvi , Freya Behrens , Giacomo Orsi , Giovanni Piccioli , Hadrien Sevel , Louis Coulon , Manuela Pineros-Rodriguez , Marin Bonnassies , Pierre Hellich , Puck van Gerwen , Sankalp Gambhir , Solal Pirelli , Thomas Blanchard , Timothée Callens , Toni Abi Aoun , Yannick Calvino Alonso , Yuri Cho , Alberto Chiappa , Antonio Sclocchi , Étienne Bruno , Florian Hofhammer , Gabriel Pescia , Geovani Rizk , Leello Dadi , Lucas Stoffl , Manoel Horta Ribeiro , Matthieu Bovel , Yueyang Pan , Aleksandra Radenovic , Alexandre Alahi , Alexander Mathis , Anne-Florence Bitbol , Boi Faltings , Cécile Hébert , Devis Tuia , François Maréchal , George Candea , Giuseppe Carleo , Jean-Cédric Chappelier , Nicolas Flammarion , Jean-Marie Fürbringer , Jean-Philippe Pellet , Karl Aberer , Lenka Zdeborová , Marcel Salathé , Martin Jaggi , Martin Rajman , Mathias Payer , Matthieu Wyart , Michael Gastpar , Michele Ceriotti , Ola Svensson , Olivier Lévêque , Paolo Ienne , Rachid Guerraoui , Robert West , Sanidhya Kashyap , Valerio Piazza , Viesturs Simanis , Viktor Kuncak , Volkan Cevher , Philippe Schwaller , Sacha Friedli , Patrick Jermann , Tanja Käser , Antoine Bosselut

In this study, it was investigated whether AI evaluators assess the content validity of B1-level English reading comprehension test items in a manner similar to human evaluators. A 25-item multiple-choice test was developed, and these test…

Human-Computer Interaction · Computer Science 2025-03-21 Hatice Gurdil , Hatice Ozlem Anadol , Yesim Beril Soguksu

Context: AI-assisted code generation tools have become increasingly prevalent in software engineering, offering the ability to generate code from natural language prompts or partial code inputs. Notable examples of these tools include…

Software Engineering · Computer Science 2023-10-24 Burak Yetiştiren , Işık Özsoy , Miray Ayerdem , Eray Tüzün

Large Language Models (LLMs) are now capable of generating text that closely resembles human writing, making them powerful tools for content creation, but this growing ability has also made it harder to tell whether a piece of text was…

Computation and Language · Computer Science 2025-10-21 Muhammad Ammar , Hadiya Murad Hadi , Usman Majeed Butt

The developments in Generative AI technologies have paved the way for numerous innovations in different fields. Recently, Generative AI has been proposed as a competitor to AES systems in evaluating student essays automatically. Considering…

Computation and Language · Computer Science 2025-10-20 Enis Oğuz

Text generated by artificial intelligence (AI) chatbots is increasingly used in English as a foreign language (EFL) writing contexts, yet its impact on students' expository writing process and compositions remains understudied. This…

Computation and Language · Computer Science 2025-07-30 David James Woo , Yangyang Yu , Kai Guo , Yilin Huang , April Ka Yeng Fung

In this paper, we study how different Reddit communities discuss generative AI in high school education, focusing on learning, academic integrity, AI detection, and emotional framing. Using 3,789 posts from five education-related…

Computers and Society · Computer Science 2026-03-27 Parth Gaba , Emiliano De Cristofaro

Data augmentation can mitigate limited training data in machine-learning automated scoring engines for constructed response items. This study seeks to determine how well three approaches to large language model prompting produce essays that…

Machine Learning · Computer Science 2026-02-09 Edward W. Wolfe , Justin O. Barber