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Large Language Models (LLMs), such as ChatGPT, are reshaping content creation and academic writing.
Writing a research paper
Malcolm Chiswick · 2004
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Ten simple (empirical) rules for writing science
Cody J Weinberger, James A Evans, and Stefano Allesina · 2015
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin · 2018
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Ten simple rules for collaboratively writing a multi-authored paper, 2018
Marieke A Frassl, David P Hamilton, Blaize A Denfeld, Elvira de Eyto, Stephanie E Hampton, Philipp S Keller, Sapna Sharma, Abigail SL Lewis, Gesa A Weyhenmeyer, Catherine M O’Reilly, et al · 2018
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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
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Generic language in scientific communication
Jasmine M DeJesus, Maureen A Callanan, Graciela Solis, and Susan A Gelman · 2019
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Gltr: Statistical detection and visualization of generated text
Sebastian Gehrmann, Hendrik Strobelt, and Alexander M Rush · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
N Reimers · 2019
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How can we boost the impact of publications? try better writing
Ren Ryba, Zoë A Doubleday, and Sean D Connell · 2019
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Release strategies and the social impacts of language models
Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, Gretchen Krueger, Jong Wook Kim, Sarah Kreps, et al · 2019
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Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi · 2019
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Language models are few-shot learners
Tom B Brown · 2020
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A brief guide to the science and art of writing manuscripts in biomedicine
Diego A Forero, Sandra Lopez-Leon, and George Perry · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Authorship attribution for neural text generation
Adaku Uchendu, Thai Le, Kai Shu, and Dongwon Lee · 2020
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The role of artificial intelligence in disinformation
Noémi Bontridder and Yves Poullet · 2021
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All that’s’ human’is not gold: Evaluating human evaluation of generated text
Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, and Noah A Smith · 2021
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Better writing in scientific publications builds reader confidence and understanding
Ren Ryba, Zoë A Doubleday, Matthew J Dry, Carolyn Semmler, and Sean D Connell · 2021
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Detectgpt: Zero-shot machine-generated text detection using probability curvature
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, and Chelsea Finn · 2023
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A publishing infrastructure for ai-assisted academic authoring
Milton Pividori and Casey S Greene · 2023
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Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, Laura Gutierrez, Ting Fang Tan, and Daniel Shu Wei Ting · 2023
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Chatgpt is fun, but not an author, 2023
H Holden Thorp · 2023
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Dipmark: A stealthy, efficient and resilient watermark for large language models
Yihan Wu, Zhengmian Hu, Hongyang Zhang, and Heng Huang · 2023
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Gpt paternity test: Gpt generated text detection with gpt genetic inheritance
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Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, et al · 2023
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The role of ai in drug discovery: challenges, opportunities, and strategies
Alexandre Blanco-Gonzalez, Alfonso Cabezon, Alejandro Seco-Gonzalez, Daniel Conde-Torres, Paula Antelo-Riveiro, Angel Pineiro, and Rebeca Garcia-Fandino · 2023
Cited alongside, same era.
On the possibilities of ai-generated text detection
Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, and Furong Huang · 2023
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Gpt-sentinel: Distinguishing human and chatgpt generated content
Yutian Chen, Hao Kang, Vivian Zhai, Liangze Li, Rita Singh, and Bhiksha Raj · 2023
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From human writing to artificial intelligence generated text: examining the prospects and potential threats of chatgpt in academic writing
Ismail Dergaa, Karim Chamari, Piotr Zmijewski, and Helmi Ben Saad · 2023
Cited alongside, same era.
Opinion paper:“so what if chatgpt wrote it?” multidisciplinary perspectives on opportunities, challenges and implications of generative conversational ai for research, practice and policy
Yogesh K Dwivedi, Nir Kshetri, Laurie Hughes, Emma Louise Slade, Anand Jeyaraj, Arpan Kumar Kar, Abdullah M Baabdullah, Alex Koohang, Vishnupriya Raghavan, Manju Ahuja, et al · 2023
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By chatgpt fool scientists
Holly Else · 2023
Cited alongside, same era.
Xiao Yu, Yuang Qi, Kejiang Chen, Guoqiang Chen, Xi Yang, Pengyuan Zhu, Weiming Zhang, and Nenghai Yu · 2023
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Provable robust watermarking for ai-generated text
Xuandong Zhao, Prabhanjan Ananth, Lei Li, and Yu-Xiang Wang · 2023
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Science communication with generative ai
Amanda Alvarez, Aylin Caliskan, MJ Crockett, Shirley S Ho, Lisa Messeri, and Jevin West · 2024
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Generative ai and science communication in the physical sciences
Sibusiso Biyela, Kanta Dihal, Katy Ilonka Gero, Daphne Ippolito, Filippo Menczer, Mike S Schäfer, and Hiromi M Yokoyama · 2024
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The impact of generative artificial intelligence on socioeconomic inequalities and policy making
Valerio Capraro, Austin Lentsch, Daron Acemoglu, Selin Akgun, Aisel Akhmedova, Ennio Bilancini, Jean-François Bonnefon, Pablo Brañas-Garza, Luigi Butera, Karen M Douglas, et al · 2024
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Large language models (llms) and the institutionalization of misinformation
Maryanne Garry, Way Ming Chan, Jeffrey Foster, and Linda A Henkel · 2024
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Factors associating with or predicting more cited or higher quality journal articles: An annual review of information science and technology (arist) paper
Kayvan Kousha and Mike Thelwall · 2024
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Generative AI and the Future of Inequality
Nathan Wilmers · 2024
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Promises and challenges of generative artificial intelligence for human learning
Lixiang Yan, Samuel Greiff, Ziwen Teuber, and Dragan Gašević · 2024
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Whose chatgpt? unveiling real-world educational inequalities introduced by large language models
Renzhe Yu, Zhen Xu, Sky CH-Wang, and Richard Arum · 2024
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