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Based on one million arXiv papers submitted from May 2018 to January 2024, we assess the textual density of ChatGPT's writing style in their abstracts through a statistical analysis of word frequency changes.
Quantitative analysis of culture using millions of digitized books
Jean-Baptiste Michel, Yuan Kui Shen, Aviva Presser Aiden, Adrian Veres, Matthew K Gray, Google Books Team, Joseph P Pickett, Dale Hoiberg, Dan Clancy, Peter Norvig, et al · 2011
Earlier work this paper cites.
A double-edged sword: the merits and the policy implications of google translate in higher education
Klaus Mundt and Michael Groves · 2016
Earlier work this paper cites.
Mastering the game of go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et al · 2017
Earlier work this paper cites.
Real or fake? learning to discriminate machine from human generated text
Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc’Aurelio Ranzato, and Arthur Szlam · 2019
Earlier work this paper cites.
Gltr: Statistical detection and visualization of generated text
Sebastian Gehrmann, Hendrik Strobelt, and Alexander M Rush · 2019
Earlier work this paper cites.
Grammarly as ai-powered english writing assistant: Students’ alternative for writing english
Tira Nur Fitria · 2021
Earlier work this paper cites.
How ai-based training affected the performance of professional go players
Jimoon Kang, June Seop Yoon, and Byungjoo Lee · 2022
Earlier work this paper cites.
The impact of large language models on scientific discovery: a preliminary study using gpt-4
Microsoft Research AI4Science and Microsoft Azure Quantum · 2023
Earlier work this paper cites.
Do artificial intelligence chatbots have a writing style? an investigation into the stylistic features of chatgpt-4
Mohammad Awad AlAfnan and Siti Fatimah MohdZuki · 2023
Earlier work this paper cites.
The manifold costs of being a non-native english speaker in science
Tatsuya Amano, Valeria Ramírez-Castañeda, Violeta Berdejo-Espinola, Israel Borokini, Shawan Chowdhury, Marina Golivets, Juan David González-Trujillo, Flavia Montaño-Centellas, Kumar Paudel, Rachel Louise White, et al · 2023
Earlier work this paper cites.
Can linguists distinguish between chatgpt/ai and human writing?: A study of research ethics and academic publishing
J Elliott Casal and Matthew Kessler · 2023
Cited alongside, same era.
Comparisons of quality, correctness, and similarity between chatgpt-generated and human-written abstracts for basic research: Cross-sectional study
Shu-Li Cheng, Shih-Jen Tsai, Ya-Mei Bai, Chih-Hung Ko, Chih-Wei Hsu, Fu-Chi Yang, Chia-Kuang Tsai, Yu-Kang Tu, Szu-Nian Yang, Ping-Tao Tseng, et al · 2023
Cited alongside, same era.
Evaluating academic answers generated using chatgpt
Suzanne Fergus, Michelle Botha, and Mehrnoosh Ostovar · 2023
Cited alongside, same era.
Comparing scientific abstracts generated by chatgpt to real abstracts with detectors and blinded human reviewers
Catherine A Gao, Frederick M Howard, Nikolay S Markov, Emma C Dyer, Siddhi Ramesh, Yuan Luo, and Alexander T Pearson · 2023
Cited alongside, same era.
How close is chatgpt to human experts? comparison corpus, evaluation, and detection
Chatgpt and a new academic reality: Artificial intelligence-written research papers and the ethics of the large language models in scholarly publishing
Brady D Lund, Ting Wang, Nishith Reddy Mannuru, Bing Nie, Somipam Shimray, and Ziang Wang · 2023
Later among the works it cites.
Chatgpt as a factual inconsistency evaluator for abstractive text summarization
Zheheng Luo, Qianqian Xie, and Sophia Ananiadou · 2023
Later among the works it cites.
Detectgpt: Zero-shot machine-generated text detection using probability curvature
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, and Chelsea Finn · 2023
Later among the works it cites.
Experimental evidence on the productivity effects of generative artificial intelligence
Shakked Noy and Whitney Zhang · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
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Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, and Yupeng Wu · 2023
Cited alongside, same era.
Is chatgpt a “fire of prometheus” for non-native english-speaking researchers in academic writing?
Sung Il Hwang, Joon Seo Lim, Ro Woon Lee, Yusuke Matsui, Toshihiro Iguchi, Takao Hiraki, and Hyungwoo Ahn · 2023
Cited alongside, same era.
Chatgpt for good? on opportunities and challenges of large language models for education
Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan Günnemann, Eyke Hüllermeier, et al · 2023
Cited alongside, same era.
A watermark for large language models
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, and Tom Goldstein · 2023
Cited alongside, same era.
Will chatgpt’s free language editing service level the playing field in science communication?: Insights from a collaborative project with non-native english scholars
Lorelei Lingard, Madawa Chandritilake, Merel de Heer, Jennifer Klasen, Fury Maulina, Francisco Olmos-Vega, and Christina St-Onge · 2023
Cited alongside, same era.
Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, et al
Cited in the paper.
Mapping the increasing use of llms in scientific papers
Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, et al
Cited in the paper.
Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, and Soheil Feizi · 2023
Later among the works it cites.
Fabrication and errors in the bibliographic citations generated by chatgpt
William H Walters and Esther Isabelle Wilder · 2023
Later among the works it cites.
arxiv dataset, 2024
arXiv.org submitters · 2024
Closest in time.
Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense
Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, and Mohit Iyyer · 2024
Closest in time.
Llm-as-a-coauthor: Can mixed human-written and machine-generated text be detected?
Qihui Zhang, Chujie Gao, Dongping Chen, Yue Huang, Yixin Huang, Zhenyang Sun, Shilin Zhang, Weiye Li, Zhengyan Fu, Yao Wan, et al · 2024
Closest in time.