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Large Language Models (LLMs) have introduced a paradigm shift in interaction with AI technology, enabling knowledge workers to complete tasks by specifying their desired outcome in natural language. LLMs have the potential to increase…

人机交互 · 计算机科学 2025-03-24 Michelle Brachman , Amina El-Ashry , Casey Dugan , Werner Geyer

In recent years, written language, particularly in science and education, has undergone remarkable shifts in word usage. These changes are widely attributed to the growing influence of Large Language Models (LLMs), which frequently rely on…

计算与语言 · 计算机科学 2025-08-04 Bryce Anderson , Riley Galpin , Tom S. Juzek

The rapid advancement of artificial intelligence, particularly with the development of Large Language Models (LLMs) built on the transformer architecture, has redefined the capabilities of natural language processing. These models now…

计算与语言 · 计算机科学 2025-02-11 Andrea Matarazzo , Riccardo Torlone

The rapid advancement of Large Language Models (LLMs) has revolutionized various sectors by automating routine tasks, marking a step toward the realization of Artificial General Intelligence (AGI). However, they still struggle to…

机器学习 · 计算机科学 2024-02-21 Zihao Tang , Zheqi Lv , Shengyu Zhang , Fei Wu , Kun Kuang

Fake news significantly influences decision-making processes by misleading individuals, organizations, and even governments. Large language models (LLMs), as part of generative AI, can amplify this problem by generating highly convincing…

计算与语言 · 计算机科学 2026-04-14 Lionel Z. Wang , Ka Chung Ng , Yiming Ma , Wenqi Fan

Large Language Models (LLMs), such as ChatGPT, have taken the world by storm and have passed certain forms of the Turing test. However, LLMs are not limited to human language and analyze sequential data, such as DNA, protein, and gene…

基因组学 · 定量生物学 2024-01-08 Hilbert Yuen In Lam , Xing Er Ong , Marek Mutwil

The paper proposes a framework that combines behavioral and computational experiments employing fictional prompts as a novel tool for investigating cultural artifacts and social biases in storytelling both by humans and generative AI. The…

计算与语言 · 计算机科学 2024-11-05 Nina Begus

Generative AI technologies such as large language models show novel potentials to enhance educational research. For example, generative large language models were shown to be capable to solve quantitative reasoning tasks in physics and…

物理教育 · 物理学 2023-10-03 Fabian Kieser , Peter Wulff , Jochen Kuhn , Stefan Küchemann

Ever since the public release of ChatGPT in November 2022, serious concerns have been raised about the impact and potentially dire consequences of the increasingly widespread use of generative AI tools for purposes of scientific writing and…

计算机与社会 · 计算机科学 2023-11-14 Paul G. Schmidt , Amnon J. Meir

The increasing use of generative AI in scientific writing raises urgent questions about attribution and intellectual credit. When a researcher employs ChatGPT to draft a manuscript, the resulting text may echo ideas from sources the author…

计算机与社会 · 计算机科学 2025-09-18 Brian D. Earp , Haotian Yuan , Julian Koplin , Sebastian Porsdam Mann

Interest in Large Language Models (LLMs) has increased drastically since the emergence of ChatGPT and the outstanding positive societal response to the ease with which it performs tasks in Natural Language Processing (NLP). The triumph of…

计算与语言 · 计算机科学 2023-04-06 Oluwatosin Ogundare , Gustavo Quiros Araya

The quality of artificially generated texts has considerably improved with the advent of transformers. The question of using these models to generate learning data for supervised learning tasks naturally arises. In this article, this…

计算与语言 · 计算机科学 2021-10-26 Vincent Claveau , Antoine Chaffin , Ewa Kijak

People acquire concepts through rich physical and social experiences and use them to understand and navigate the world. In contrast, large language models (LLMs), trained solely through next-token prediction on text, exhibit strikingly…

计算与语言 · 计算机科学 2025-11-11 Ningyu Xu , Qi Zhang , Chao Du , Qiang Luo , Xipeng Qiu , Xuanjing Huang , Menghan Zhang

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,…

Large language models of artificial intelligence (AI), such as ChatGPT, find remarkable but controversial applicability in science and research. This paper reviews epistemological challenges, ethical and integrity risks in science conduct…

计算机与社会 · 计算机科学 2023-08-01 Evangelos Pournaras

The improved generative capabilities of large language models have made them a powerful tool for creative writing and storytelling. It is therefore important to quantitatively understand the nature of generated stories, and how they differ…

计算与语言 · 计算机科学 2024-11-26 Xi Yu Huang , Krishnapriya Vishnubhotla , Frank Rudzicz

Large language models~(LLM) like ChatGPT have become indispensable to artificial general intelligence~(AGI), demonstrating excellent performance in various natural language processing tasks. In the real world, graph data is ubiquitous and…

人工智能 · 计算机科学 2023-07-12 Jiayan Guo , Lun Du , Hengyu Liu , Mengyu Zhou , Xinyi He , Shi Han

Generative AI tools, including the popular ChatGPT, have had a significant impact on discourses about future work and educational practices. Previous research in science education has highlighted the potential of generative AI in various…

物理教育 · 物理学 2025-08-18 Sebastian Kilde-Westberg , Andreas Johansson , Jonas Enger

Large Language Models (LLMs) and, more specifically, the Generative Pre-Trained Transformers (GPT) can help stakeholders in climate action explore digital knowledge bases and extract and utilize climate action knowledge in a sustainable…

计算机与社会 · 计算机科学 2024-02-02 Denis Havlik , Marcelo Pias

Artificial intelligence (AI) as a disruptive technology is not new. However, its recent evolution, engineered by technological transformation, big data analytics, and quantum computing, produces conversational and generative AI (CGAI/GenAI)…

计算机与社会 · 计算机科学 2024-07-18 Ikpe Justice Akpan , Yawo M. Kobara , Josiah Owolabi , Asuama Akpam , Onyebuchi Felix Offodile