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Academic writing is an indispensable yet laborious part of the research enterprise. This Perspective maps out principles and methods for using generative artificial intelligence (AI), specifically large language models (LLMs), to elevate…

Computers and Society · Computer Science 2026-04-07 Zhicheng Lin

The rise of Generative AI (GAI) and Large Language Models (LLMs) has transformed industrial landscapes, offering unprecedented opportunities for efficiency and innovation while raising critical ethical, regulatory, and operational…

Computers and Society · Computer Science 2026-03-11 Junfeng Jiao , Saleh Afroogh , Kevin Chen , David Atkinson , Amit Dhurandhar

Generative artificial intelligence (GenAI) holds great promise as a tool to support personalized learning. Teachers need tools to efficiently and effectively enhance content readability of educational texts so that they are matched to…

The adoption of large language models (LLMs) and autonomous agents in software engineering marks an enduring paradigm shift. These systems create new opportunities for tool design, workflow orchestration, and empirical observation, while…

Software Engineering · Computer Science 2025-11-04 Christoph Treude , Margaret-Anne Storey

The rapid advancement of Large Language Models (LLMs) has generated considerable speculation regarding their transformative potential for labor markets. However, existing approaches to measuring AI exposure in the workforce predominantly…

Computers and Society · Computer Science 2025-11-21 Shurui Cao , Wenyue Hua , William Yang Wang , Hong Shen , Fei Fang

A growing literature documents that generative artificial intelligence (GenAI) is changing scientific writing, yet most studies focus on absolute changes in vocabulary or readability. An important question remains unanswered: Does GenAI use…

Computers and Society · Computer Science 2026-03-11 Dragan Filimonovic , Christian Rutzer , Jeffrey Macher , Rolf Weder

The emergence of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) has marked a new era of Natural Language Processing (NLP), introducing unprecedented capabilities that are revolutionizing various domains. This paper…

Computation and Language · Computer Science 2024-08-26 Desta Haileselassie Hagos , Rick Battle , Danda B. Rawat

This study examines the potential of large language models (LLMs) to augment the academic peer review process by reliably evaluating the quality of economics research without introducing systematic bias. We conduct one of the first…

Computers and Society · Computer Science 2025-04-04 Pat Pataranutaporn , Nattavudh Powdthavee , Chayapatr Achiwaranguprok , Pattie Maes

Cutting-edge Artificial Intelligence (AI) techniques keep reshaping our view of the world. For example, Large Language Models (LLMs) based applications such as ChatGPT have shown the capability of generating human-like conversation on…

Recent advancements in artificial intelligence (AI) are fundamentally reshaping computing, with large language models (LLMs) now effectively being able to generate and interpret source code and natural language instructions. These emergent…

Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are recognized to have significant effects on industry and business dynamics, not least because of their impact on the preconditions for entrepreneurship. There is…

General Economics · Economics 2025-05-12 Anna Kusetogullari , Huseyin Kusetogullari , Martin Andersson , Tony Gorschek

The exponential growth of text-based data in domains such as healthcare, education, and social sciences has outpaced the capacity of traditional qualitative analysis methods, which are time-intensive and prone to subjectivity. Large…

Large language models (LLMs) are solidifying their position in the modern world as effective tools for the automatic generation of text. Their use is quickly becoming commonplace in fields such as education, healthcare, and scientific…

Computation and Language · Computer Science 2025-10-08 Luka Terčon , Kaja Dobrovoljc

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

In this paper, we describe the capabilities and constraints of Large Language Models (LLMs) within disparate academic disciplines, aiming to delineate their strengths and limitations with precision. We examine how LLMs augment scientific…

The emergent abilities of Large Language Models (LLMs), which power tools like ChatGPT and Bard, have produced both excitement and worry about how AI will impact academic writing. In response to rising concerns about AI use, authors of…

Computers and Society · Computer Science 2024-01-31 Nir Chemaya , Daniel Martin

With recent Nobel Prizes recognising AI contributions to science, Large Language Models (LLMs) are transforming scientific research by enhancing productivity and reshaping the scientific method. LLMs are now involved in experimental design,…

The rapid development of AI-driven tools, particularly large language models (LLMs), is reshaping professional writing. Still, key aspects of their adoption such as languages support, ethics, and long-term impact on writers voice and…

Computation and Language · Computer Science 2025-07-31 Anastasiia Ivanova , Natalia Fedorova , Sergei Tilga , Ekaterina Artemova

Large language models (LLMs) have rapidly emerged in civil and environmental engineering (CEE) research, education, and practice as tools for project ideation, execution, and communication. However, it is unknown how prevalent LLM adoption…

Digital Libraries · Computer Science 2026-03-17 Morgan D. Sanger , Brett W. Maurer

The rapid advancement of large language models (LLMs) has inspired researchers to integrate them extensively into the academic workflow, potentially reshaping how research is practiced and reviewed. While previous studies highlight the…

Computation and Language · Computer Science 2025-10-15 Rui Li , Jia-Chen Gu , Po-Nien Kung , Heming Xia , Junfeng liu , Xiangwen Kong , Zhifang Sui , Nanyun Peng