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Increasingly powerful Large Language Model (LLM) based chatbots, like ChatGPT and Bard, are becoming available to users that have the potential to revolutionize the quality of decision-making achieved by the public. In this context, we set…

Computation and Language · Computer Science 2023-07-17 Kausik Lakkaraju , Sai Krishna Revanth Vuruma , Vishal Pallagani , Bharath Muppasani , Biplav Srivastava

In recent years, Large Language Models (LLMs) have emerged as a transformative development in artificial intelligence (AI), drawing significant attention from industry and academia. Trained on vast datasets, these sophisticated AI systems…

Artificial Intelligence · Computer Science 2025-01-15 Oudom Hean , Utsha Saha , Binita Saha

The rapid proliferation of generative artificial intelligence (AI) tools - especially large language models (LLMs) such as ChatGPT - has ushered in a transformative era in higher education. Universities in developed regions are increasingly…

Human-Computer Interaction · Computer Science 2025-06-30 Russell Beale

ChatGPT and Bard are AI chatbots based on Large Language Models (LLM) that are slated to promise different applications in diverse areas. In education, these AI technologies have been tested for applications in assessment and teaching. In…

Computation and Language · Computer Science 2023-05-11 Abdolvahab Khademi

The recent advancements in Generative Artificial intelligence (GenAI) technology have been transformative for the field of education. Large Language Models (LLMs) such as ChatGPT and Bard can be leveraged to automate boilerplate tasks,…

This study aimed to evaluate the proficiency of prominent Large Language Models (LLMs), namely OpenAI's ChatGPT 3.5 and 4.0, Google's Bard(LaMDA), and Microsoft's Bing AI in discerning the truthfulness of news items using black box testing.…

Computation and Language · Computer Science 2023-07-03 Kevin Matthe Caramancion

This paper presents a performance comparison of three large language models (LLMs), namely OpenAI ChatGPT, Microsoft Bing Chat (BingChat), and Google Bard, on the VNHSGE English dataset. The performance of BingChat, Bard, and ChatGPT…

Computation and Language · Computer Science 2023-07-21 Xuan-Quy Dao

This study investigates the efficacy of large language models (LLMs) as tools for grading master-level student essays. Utilizing a sample of 60 essays in political science, the study compares the accuracy of grades suggested by the GPT-4…

General Economics · Economics 2024-06-25 Magnus Lundgren

Artificial Intelligence (AI) technology has emerged as a transformative force in financial analysis and the finance industry, though significant questions remain about the full capabilities of Large Language Model (LLM) agents in this…

Computational Engineering, Finance, and Science · Computer Science 2025-08-05 Antoine Bigeard , Langston Nashold , Rayan Krishnan , Shirley Wu

Since its launch in late 2022, ChatGPT has ignited widespread interest in Large Language Models (LLMs) and broader Artificial Intelligence (AI) solutions. As this new wave of AI permeates various sectors of society, we are continually…

Computers and Society · Computer Science 2025-09-18 Juho Vepsäläinen , Petri Juntunen

Generative artificial intelligence (AI) based on large language models (LLMs), such as ChatGPT, has demonstrated remarkable progress across various professional fields, including medicine and education. However, their performance in…

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…

Software Engineering · Computer Science 2023-07-18 Fardin Ahsan Sakib , Saadat Hasan Khan , A. H. M. Rezaul Karim

This paper presents a comprehensive investigation into the capability of Large Language Models (LLMs) to successfully complete a semester-long undergraduate control systems course. Through evaluation of 115 course deliverables, we assess…

Computers and Society · Computer Science 2025-05-19 Gokul Puthumanaillam , Timothy Bretl , Melkior Ornik

Large Language Models (LLMs) have proven immensely beneficial in education by capturing vast amounts of literature-based information, allowing them to generate context without relying on external sources. In this paper, we propose a…

Information Retrieval · Computer Science 2025-07-03 Umar Ali Khan , Ekram Khan , Fiza Khan , Athar Ali Moinuddin

In the evolving landscape of digital education, chatbots have emerged as potential game-changers, promising personalized and adaptive learning experiences. This research undertook an in-depth exploration of ChatGPT's potential as an…

Human-Computer Interaction · Computer Science 2024-02-26 Holger Arndt

As Large-Scale Language Models (LLMs) continue to evolve, they demonstrate significant enhancements in performance and an expansion of functionalities, impacting various domains, including education. In this study, we conducted interviews…

Human-Computer Interaction · Computer Science 2024-07-18 He Zhang , Jingyi Xie , Chuhao Wu , Jie Cai , ChanMin Kim , John M. Carroll

Many believe that use of generative AI as a private tutor has the potential to shrink access and achievement gaps between students and schools with abundant resources versus those with fewer resources. Shrinking the gap is possible only if…

Other Statistics · Statistics 2025-06-12 Monnie McGee , Bivin Sadler

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

Large language models such as ChatGPT-3.5 and GPT-4.0 are ubiquitous and dominate the current discourse. Their transformative capabilities have led to a paradigm shift in how we interact with and utilize (text-based) information. Each day,…

Computers and Society · Computer Science 2023-08-07 Tim Krüger , Michael Gref
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