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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.
Towards possibilities & impossibilities of ai-generated text detection: A survey
Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, and Amrit Singh Bedi. 2023 · 2023
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Can grammarly and chatgpt accelerate language change? ai-powered technologies and their impact on the english language: wordiness vs. conciseness
Karolina Rudnicka. 2023 · 2023
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Can ai-generated text be reliably detected?
Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, and Soheil Feizi. 2023 · 2023
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Testing of detection tools for ai-generated text
Debora Weber-Wulff, Alla Anohina-Naumeca, Sonja Bjelobaba, Tomáš Foltỳnek, Jean Guerrero-Dib, Olumide Popoola, Petr Šigut, and Lorna Waddington. 2023 · 2023
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Genai content detection task 2: Ai vs. human–academic essay authenticity challenge
Shammur Absar Chowdhury, Hind Almerekhi, Mucahid Kutlu, Kaan Efe Keles, Fatema Ahmad, Tasnim Mohiuddin, George Mikros, and Firoj Alam. 2024 · 2024
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Exploring the limitations of detecting machine-generated text
Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin, Shady Shehata, Preslav Nakov, and Zeerak Talat. 2024 · 2024
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The impact of large language models in academia: from writing to speaking
Mingmeng Geng, Caixi Chen, Yanru Wu, Dongping Chen, Yao Wan, and Pan Zhou. 2024 · 2024
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Is chatgpt transforming academics’ writing style?
Mingmeng Geng and Roberto Trotta. 2024 · 2024
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Chatgpt" contamination": estimating the prevalence of llms in the scholarly literature
Andrew Gray. 2024 · 2024
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Benchmarking linguistic diversity of large language models
Yanzhu Guo, Guokan Shang, and Chloé Clavel. 2024 · 2024
Cited alongside, same era.
Spotting llms with binoculars: Zero-shot detection of machine-generated text
Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, Hamid Kazemi, Aniruddha Saha, Micah Goldblum, Jonas Geiping, and Tom Goldstein. 2024 · 2024
Cited alongside, same era.
Delving into chatgpt usage in academic writing through excess vocabulary
Dmitry Kobak, Rita González-Márquez, Emőke-Ágnes Horvát, and Jan Lause. 2024 · 2024
Cited alongside, same era.
Nllg quarterly arxiv report 09/24: What are the most influential current ai papers?
Christoph Leiter, Jonas Belouadi, Yanran Chen, Ran Zhang, Daniil Larionov, Aida Kostikova, and Steffen Eger. 2024 · 2024
Cited alongside, same era.
Withdrarxiv: A large-scale dataset for retraction study
Delip Rao, Jonathan Young, Thomas Dietterich, and Chris Callison-Burch. 2024 · 2024
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Playing with words: Comparing the vocabulary and lexical diversity of chatgpt and humans
Pedro Reviriego, Javier Conde, Elena Merino-Gómez, Gonzalo Martínez, and José Alberto Hernández. 2024 · 2024
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The science of detecting llm-generated text
Ruixiang Tang, Yu-Neng Chuang, and Xia Hu. 2024 · 2024
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Stumbling blocks: Stress testing the robustness of machine-generated text detectors under attacks
Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, and Tianxing He. 2024 · 2024
Later among the works it cites.
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. 2024a · 2024
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Zhehui Liao, Maria Antoniak, Inyoung Cheong, Evie Yu-Yen Cheng, Ai-Heng Lee, Kyle Lo, Joseph Chee Chang, and Amy X Zhang. 2024 · 2024
Cited alongside, same era.
Jialin Liu and Yi Bu. 2024 · 2024
Cited alongside, same era.
On the generalization ability of machine-generated text detectors
Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, et al. 2024 · 2024
Cited alongside, same era.
Human-ai coevolution
Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina, Ricardo Baeza-Yates, Albert-László Barabási, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, János Kertész, et al. 2024 · 2024
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. 2024a
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. 2024b
Cited in the paper.
Detection vs. anti-detection: Is text generated by ai detectable?
Yuehan Zhang, Yongqiang Ma, Jiawei Liu, Xiaozhong Liu, Xiaofeng Wang, and Wei Lu. 2024b
Cited in the paper.
Later among the works it cites.
Silverspeak: Evading ai-generated text detectors using homoglyphs
Aldan Creo and Shushanta Pudasaini. 2025 · 2025
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Jenna Russell, Marzena Karpinska, and Mohit Iyyer. 2025 · 2025
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Yuxia Wang, Artem Shelmanov, Jonibek Mansurov, Akim Tsvigun, Vladislav Mikhailov, Rui Xing, Zhuohan Xie, Jiahui Geng, Giovanni Puccetti, Ekaterina Artemova, et al. 2025 · 2025
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