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[Background/Context] AI assistants like GitHub Copilot are transforming software engineering; several studies have highlighted productivity improvements. However, their impact on code quality, particularly in terms of maintainability,…

Software Engineering · Computer Science 2024-08-21 Markus Borg , Dave Hewett , Donald Graham , Noric Couderc , Emma Söderberg , Luke Church , Dave Farley

This review introduces the transformative potential of generative Artificial Intelligence (AI) and foundation models, including large language models (LLMs), for health technology assessment (HTA). We explore their applications in four…

Machine Learning · Computer Science 2024-09-24 Rachael Fleurence , Jiang Bian , Xiaoyan Wang , Hua Xu , Dalia Dawoud , Mitch Higashi , Jagpreet Chhatwal

Most generative AI tools prioritize individual productivity and personalization, with limited support for collaboration. Designed for traditional workplaces, these tools do not fit freelancers' short-term teams or lack of shared…

Human-Computer Interaction · Computer Science 2026-02-06 Kashif Imteyaz , Michael Muller , Claudia Flores-Saviaga , Saiph Savage

Although AI drafting tools have gained prominence in patent writing, the systematic evaluation of AI-generated patent content quality represents a significant research gap. To address this gap, We propose to evaluate patents using…

Information Retrieval · Computer Science 2025-10-31 Yuqian Chai , Chaochao Wang , Weilei Wang

Think-Aloud Computing, a method for capturing users' verbalized thoughts during software tasks, allows eliciting rich contextual insights into evolving intentions, struggles, and decision-making processes of users in real-time. However,…

Human-Computer Interaction · Computer Science 2026-02-11 Frederic Gmeiner , John Thompson , George Fitzmaurice , Justin Matejka

Generative Artificial Intelligence (AI), particularly tools like OpenAI's popular ChatGPT, is reshaping the landscape of computer science research. Used wisely, these tools can boost the productivity of a computer research scientist. This…

Artificial Intelligence · Computer Science 2023-11-21 Eduardo C. Garrido-Merchan

Reflection is widely recognized as a cornerstone of student development, fostering critical thinking, self-regulation, and deep conceptual understanding. Traditionally, reflective skills have been cultivated through structured feedback,…

Human-Computer Interaction · Computer Science 2025-09-10 Bo Yuan , Jiazi Hu

Generative AI and misinformation research has evolved since our 2024 survey. This paper presents an updated perspective, transitioning from literature review to practical countermeasures. We report on changes in the threat landscape,…

Computers and Society · Computer Science 2026-02-12 Alexander Loth , Martin Kappes , Marc-Oliver Pahl

The widespread adoption of large language models (LLMs) and generative AI (GenAI) tools across diverse applications has amplified the importance of addressing societal biases inherent within these technologies. While the NLP community has…

Writing is a foundational literacy skill that underpins effective communication, fosters critical thinking, facilitates learning across disciplines, and enables individuals to organize and articulate complex ideas. Consequently, writing…

Computation and Language · Computer Science 2026-03-05 Jiangang Hao

This paper explores the potential of AI-powered tools to reshape data analysis, focusing on design considerations and challenges. We explore how the emergence of large language and multimodal models offers new opportunities to enhance…

Artificial Intelligence · Computer Science 2024-09-30 Jeevana Priya Inala , Chenglong Wang , Steven Drucker , Gonzalo Ramos , Victor Dibia , Nathalie Riche , Dave Brown , Dan Marshall , Jianfeng Gao

Generative Artificial Intelligence (GenAI) has demonstrated its capabilities in the present world that reduce human effort significantly. It utilizes deep learning techniques to create original and realistic content in terms of text,…

Artificial Intelligence · Computer Science 2025-12-11 Aman Kumar , Deepak Narayan Gadde

This paper explores the parallels between Thompson's "Reflections on Trusting Trust" and modern challenges in LLM-based code generation. We examine how Thompson's insights about compiler backdoors take on new relevance in the era of large…

Software Engineering · Computer Science 2025-02-25 Bradley McDanel

Large Language Models (LLMs) are increasingly embedded in academic writing practices. Although numerous studies have explored how researchers employ these tools for scientific writing, their concrete implementation, limitations, and design…

Human-Computer Interaction · Computer Science 2025-12-15 Brenda Nogueira , Werner Geyer , Andrew Anderson , Toby Jia-Jun Li , Dongwhi Kim , Nuno Moniz , Nitesh V. Chawla

Intelligent assistants powered by Large Language Models (LLMs) can generate program and test code with high accuracy, boosting developers' and testers' productivity. However, there is a lack of studies exploring LLMs for testing Web APIs,…

Software Engineering · Computer Science 2024-09-09 André Pereira , Bruno Lima , João Pascoal Faria

Generative AI systems such as ChatGPT challenge traditional assumptions about academic assessment by enabling students to generate explanations, code, and solutions in real time. Rather than attempting to restrict AI use, this study…

Computers and Society · Computer Science 2026-05-13 Qusay H. Mahmoud

The integration of generative AI tools like ChatGPT into software engineering workflows opens up new opportunities to boost productivity in tasks such as unit test engineering. However, these AI-assisted workflows can also significantly…

Software Engineering · Computer Science 2025-10-14 Baris Ardic , Quentin Le Dilavrec , Andy Zaidman

With the recent advancement of Artificial Intelligence (AI) and Large Language Models (LLMs), AI-based code generation tools become a practical solution for software development. GitHub Copilot, the AI pair programmer, utilizes machine…

Software Engineering · Computer Science 2024-09-04 Xiyu Zhou , Peng Liang , Beiqi Zhang , Zengyang Li , Aakash Ahmad , Mojtaba Shahin , Muhammad Waseem

Large Language Models (LLMs) are increasingly used to generate and edit scientific abstracts, yet their integration into academic writing raises questions about trust, quality, and disclosure. Despite growing adoption, little is known about…

Computers and Society · Computer Science 2026-01-23 Nil-Jana Akpinar , Sandeep Avula , CJ Lee , Brandon Dang , Kaza Razat , Vanessa Murdock

Writing survey questions that easily and accurately convey their intent to a variety of respondents is a demanding and high-stakes task. Despite the extensive literature on best practices, the number of considerations to keep in mind is…

Methodology · Statistics 2025-09-11 Erica Ann Metheney , Lauren Yehle
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