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相关论文: Have LLM-associated terms increased in article ful…

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This study investigates how Large Language Models (LLMs) are influencing the language of academic papers by tracking 12 LLM-associated terms across six major scholarly databases (Scopus, Web of Science, PubMed, PubMed Central (PMC),…

数字图书馆 · 计算机科学 2026-03-13 Kayvan Kousha , Mike Thelwall

The use of large language models (LLMs) in scholarly publications has grown dramatically since the launch of ChatGPT in late 2022. This usage is often undisclosed, and it can be challenging for readers and reviewers to identify human…

数字图书馆 · 计算机科学 2025-12-02 Andrew Gray

The use of ChatGPT and similar Large Language Model (LLM) tools in scholarly communication and academic publishing has been widely discussed since they became easily accessible to a general audience in late 2022. This study uses keywords…

数字图书馆 · 计算机科学 2024-03-26 Andrew Gray

Scientific publishing lays the foundation of science by disseminating research findings, fostering collaboration, encouraging reproducibility, and ensuring that scientific knowledge is accessible, verifiable, and built upon over time.…

Large language models (LLMs) like ChatGPT can generate and revise text with human-level performance. These models come with clear limitations: they can produce inaccurate information, reinforce existing biases, and be easily misused. Yet,…

计算与语言 · 计算机科学 2025-07-04 Dmitry Kobak , Rita González-Márquez , Emőke-Ágnes Horvát , Jan Lause

Large language models (LLMs) are dramatically influencing AI research, spurring discussions on what has changed so far and how to shape the field's future. To clarify such questions, we analyze a new dataset of 16,979 LLM-related arXiv…

数字图书馆 · 计算机科学 2024-04-30 Rajiv Movva , Sidhika Balachandar , Kenny Peng , Gabriel Agostini , Nikhil Garg , Emma Pierson

Large Language Models (LLMs), such as ChatGPT, are reshaping content creation and academic writing. This study investigates the impact of AI-assisted generative revisions on research manuscripts, focusing on heterogeneous adoption patterns…

计算与语言 · 计算机科学 2025-04-21 Cong William Lin , Wu Zhu

Interdisciplinary collaboration is crucial for addressing complex scientific challenges. Recent advancements in large language models (LLMs) have shown significant potential in benefiting researchers across various fields. To explore their…

社会与信息网络 · 计算机科学 2024-12-31 Lingyao Li , Ly Dinh , Songhua Hu , Libby Hemphill

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

Large Language Models (LLMs), such as ChatGPT, have prompted academic concerns about their impact on academic writing. Existing studies have primarily examined LLM usage in academic writing through quantitative approaches, such as word…

计算与语言 · 计算机科学 2025-05-20 Tong Bao , Yi Zhao , Jin Mao , Chengzhi Zhang

AI-associated lexical shifts have been documented mainly in Scientific English. We extend this work to 34 languages in the WMT News Crawl corpus, refining a split-halves continuation diagnostic that compares GPT-4.1 continuations with…

计算与语言 · 计算机科学 2026-05-26 Thomas Stephan Juzek

The recent advances in large language models (LLMs) attracted significant public and policymaker interest in its adoption patterns. In this paper, we systematically analyze LLM-assisted writing across four domains-consumer complaints,…

计算与语言 · 计算机科学 2025-02-19 Weixin Liang , Yaohui Zhang , Mihai Codreanu , Jiayu Wang , Hancheng Cao , James Zou

Objective: This study aims to summarize the usage of Large Language Models (LLMs) in the process of creating a scientific review. We look at the range of stages in a review that can be automated and assess the current state-of-the-art…

数字图书馆 · 计算机科学 2025-05-16 Dmitry Scherbakov , Nina Hubig , Vinita Jansari , Alexander Bakumenko , Leslie A. Lenert

Large language model (LLM) research has grown rapidly, along with increasing concern about their limitations. In this survey, we conduct a data-driven, semi-automated review of research on limitations of LLMs (LLLMs) from 2022 to early 2025…

计算与语言 · 计算机科学 2026-03-13 Aida Kostikova , Zhipin Wang , Deidamea Bajri , Ole Pütz , Benjamin Paaßen , Steffen Eger

Artificial intelligence chatbots driven by large language models (LLMs) have the potential to increase public science literacy and support scientific research, as they can quickly summarize complex scientific information in accessible…

计算与语言 · 计算机科学 2025-04-02 Uwe Peters , Benjamin Chin-Yee

With a statistical analysis of arXiv paper abstracts, we report a marked drop in the frequency of several words previously identified as overused by ChatGPT, such as "delve", starting soon after they were pointed out in early 2024. The…

计算与语言 · 计算机科学 2025-02-18 Mingmeng Geng , Roberto Trotta

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…

数字图书馆 · 计算机科学 2026-03-17 Morgan D. Sanger , Brett W. Maurer

Large language models (LLMs) are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks and have become a highly sought-after research area, because of their…

数字图书馆 · 计算机科学 2023-04-06 Lizhou Fan , Lingyao Li , Zihui Ma , Sanggyu Lee , Huizi Yu , Libby Hemphill

Large language models such as ChatGPT have increased scholarly output, but whether this productivity boost produces genuine intellectual advancement remains untested. I address this gap by measuring the semantic novelty of 13,847 articles…

数字图书馆 · 计算机科学 2026-03-25 Ali Safari

Large Language Models (LLMs) have drawn a lot of attention due to their strong performance on a wide range of natural language tasks, since the release of ChatGPT in November 2022. LLMs' ability of general-purpose language understanding and…

计算与语言 · 计算机科学 2025-03-25 Shervin Minaee , Tomas Mikolov , Narjes Nikzad , Meysam Chenaghlu , Richard Socher , Xavier Amatriain , Jianfeng Gao
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