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Recently, large language models (LLM) based generative AI has been gaining momentum for their impressive high-quality performances in multiple domains, particularly after the release of the ChatGPT. Many believe that they have the potential…

Software Engineering · Computer Science 2024-02-22 Wei Wang , Huilong Ning , Gaowei Zhang , Libo Liu , Yi Wang

Large Language Models (LLMs), like ChatGPT, have gained widespread popularity and usage in various software engineering tasks, including refactoring, testing, code review, and program comprehension. Despite recent studies delving into…

Software Engineering · Computer Science 2024-02-12 Eman Abdullah AlOmar , Anushkrishna Venkatakrishnan , Mohamed Wiem Mkaouer , Christian D. Newman , Ali Ouni

Upon release, ChatGPT3.5 shocked the software engineering community by its ability to generate answers to specialized questions about coding. Immediately, many educators wondered if it was possible to use the chatbot as a support tool that…

Computers and Society · Computer Science 2024-11-27 Yaiza Aragonés-Soria , Julia Kotovich , Chitsutha Soomlek , Manuel Oriol

As AI tools such as ChatGPT enter programming classrooms, students encounter differing rules across courses and instructors, which shape how they use AI and leave them with unequal capabilities for leveraging it. We investigate how students…

Human-Computer Interaction · Computer Science 2026-04-14 Tianyu Shao , Miguel Feijóo-García , Yi Zhang , Hugo Castellanos , Tawfiq Salem , Alejandra Magana , Tianyi Li

The growing popularity of generative AI, particularly ChatGPT, has sparked both enthusiasm and caution among practitioners and researchers in education. To effectively harness the full potential of ChatGPT in educational contexts, it is…

Computers and Society · Computer Science 2024-03-13 Han Kyul Kim , Shriniwas Nayak , Aleyeh Roknaldin , Xiaoci Zhang , Marlon Twyman , Stephen Lu

Qualitative research delves deeply into individual complex perspectives on technology and various phenomena. However, a meticulous analysis of qualitative data often requires a significant amount of time, especially during the crucial…

Human-Computer Interaction · Computer Science 2023-10-12 He Zhang , Chuhao Wu , Jingyi Xie , ChanMin Kim , John M. Carroll

While Large language model (LLM)-based programming assistants such as CoPilot and ChatGPT can help improve the productivity of professional software developers, they can also facilitate cheating in introductory computer programming courses.…

Computation and Language · Computer Science 2024-10-16 Saiful Islam Salim , Rubin Yuchan Yang , Alexander Cooper , Suryashree Ray , Saumya Debray , Sazzadur Rahaman

Large language models (LLMs) are quickly being adopted in a wide range of learning experiences, especially via ubiquitous and broadly accessible chat interfaces like ChatGPT and Copilot. This type of interface is readily available to…

Computers and Society · Computer Science 2025-07-16 Allen Nie , Yash Chandak , Miroslav Suzara , Ali Malik , Juliette Woodrow , Matt Peng , Mehran Sahami , Emma Brunskill , Chris Piech

Large Language Models (LLMs) have rapidly transformed software development, especially in code generation. However, their inconsistent performance, prone to hallucinations and quality issues, complicates program comprehension and hinders…

Software Engineering · Computer Science 2025-04-21 Antonio Della Porta , Stefano Lambiase , Fabio Palomba

Generative AI technologies such as ChatGPT, Gemini, and MidJourney have made remarkable progress in recent years. Recent literature has documented ChatGPT's positive impact on productivity in areas where it has strong expertise,…

General Economics · Economics 2024-03-05 Voraprapa Nakavachara , Tanapong Potipiti , Thanee Chaiwat

This paper proposes a framework for quantitatively evaluating interactive LLMs such as ChatGPT using publicly available data sets. We carry out an extensive technical evaluation of ChatGPT using 23 data sets covering 8 different common NLP…

Computation and Language · Computer Science 2023-11-29 Yejin Bang , Samuel Cahyawijaya , Nayeon Lee , Wenliang Dai , Dan Su , Bryan Wilie , Holy Lovenia , Ziwei Ji , Tiezheng Yu , Willy Chung , Quyet V. Do , Yan Xu , Pascale Fung

Data visualization creators often lack formal training, resulting in a knowledge gap in design practice. Large language models such as ChatGPT, with their vast internet-scale training data, offer transformative potential to address this…

Human-Computer Interaction · Computer Science 2025-05-20 Nam Wook Kim , Yongsu Ahn , Grace Myers , Benjamin Bach

The increasing demand for digital literacy and artificial intelligence (AI) fluency in the workforce has highlighted the need for scalable, efficient programming instruction. This study evaluates the effectiveness of integrating generative…

Computers and Society · Computer Science 2025-05-28 Ian McCulloh , Pedro Rodriguez , Srivaths Kumar , Manu Gupta , Viplove Raj Sharma , Benjamin Johnson , Anthony N. Johnson

Mathematical questioning is crucial for assessing students problem-solving skills. Since manually creating such questions requires substantial effort, automatic methods have been explored. Existing state-of-the-art models rely on…

Computation and Language · Computer Science 2024-02-29 Phuoc Pham Van Long , Duc Anh Vu , Nhat M. Hoang , Xuan Long Do , Anh Tuan Luu

Programming assistants powered by large language models (LLMs) have become widely available, with conversational assistants like ChatGPT particularly accessible to novice programmers. However, varied tool capabilities and inconsistent…

Human-Computer Interaction · Computer Science 2026-03-02 Gabrielle O'Brien , Antonio Pedro Santos Alves , Sebastian Baltes , Grischa Liebel , Mircea Lungu , Marcos Kalinowski

Large language models (LLMs) have demonstrated impressive capabilities across various NLP tasks. Additionally, LLMs are also highly valuable in supporting software engineering tasks, particularly in the field of code generation. Automatic…

Software Engineering · Computer Science 2024-04-16 Zhijie Liu , Yutian Tang , Xiapu Luo , Yuming Zhou , Liang Feng Zhang

The proliferation of Large Language Models (LLMs), such as ChatGPT, has raised concerns about their potential impact on academic integrity, prompting the need for LLM-resistant exam designs. This article investigates the performance of LLMs…

Computation and Language · Computer Science 2023-04-25 Simon kaare Larsen

Evaluating the capabilities of Large Language Models (LLMs) to assist teachers and students in educational tasks is receiving increasing attention. In this paper, we assess ChatGPT's capacities to solve and grade real programming exams,…

Artificial Intelligence · Computer Science 2025-03-21 Pablo Saborido-Fernández , Marcos Fernández-Pichel , David E. Losada

Source code identifiers often contain abbreviations. Such abbreviations may reduce the readability of the source code, which in turn hinders the maintenance of the software applications. To this end, accurate and automated approaches to…

Software Engineering · Computer Science 2024-11-01 Yanjie Jiang , Hui Liu , Lu Zhang

We evaluate GPTutor, an LLM-powered tutoring system for an undergraduate discrete mathematics course. It integrates two LLM-supported tools: a structured proof-review tool that provides embedded feedback on students' written proof attempts,…

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