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The ability to accurately identify authorship is crucial for verifying content authenticity and mitigating misinformation.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Inference in an authorship problem: A comparative study of discrimination methods applied to the authorship of the disputed federalist papers
Frederick Mosteller and David L Wallace. 1963 · 1963
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Authorship attribution
David I Holmes. 1994 · 1994
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Electra: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning. 2020 · 2003
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The enron corpus: A new dataset for email classification research
Bryan Klimt and Yiming Yang. 2004 · 2004
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Who’s at the keyboard? authorship attribution in digital evidence investigations
Carole E Chaski. 2005 · 2005
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Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2020 · 2006
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Plagiarism detection without reference collections
Sven Meyer zu Eissen, Benno Stein, and Marion Kulig. 2007 · 2006
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Effects of age and gender on blogging
Jonathan Schler, Moshe Koppel, Shlomo Argamon, and James W Pennebaker. 2006 · 2006
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Authorship attribution
Ilker Nadi Bozkurt, Ozgur Baghoglu, and Erkan Uyar. 2007 · 2007
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Measuring differentiability: Unmasking pseudonymous authors
Moshe Koppel, Jonathan Schler, and Elisheva Bonchek-Dokow. 2007 · 2007
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Authorship attribution in law enforcement scenarios
Moshe Koppel, Jonathan Schler, and Eran Messeri. 2008 · 2008
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A survey of modern authorship attribution methods
Efstathios Stamatatos. 2009 · 2009
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Data Structures for Statistical Computing in Python
Wes McKinney. 2010 · 2010
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Finding deceptive opinion spam by any stretch of the imagination
Myle Ott, Yejin Choi, Claire Cardie, and Jeffrey T Hancock. 2011 · 2011
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Scikit-learn: Machine learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. 2011 · 2011
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Plagiarism and authorship analysis: introduction to the special issue
Efstathios Stamatatos and Moshe Koppel. 2011 · 2011
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Detecting hoaxes, frauds, and deception in writing style online
Sadia Afroz, Michael Brennan, and Rachel Greenstadt. 2012 · 2012
Earlier work this paper cites.
The “fundamental problem” of authorship attribution
Moshe Koppel, Jonathan Schler, Shlomo Argamon, and Yaron Winter. 2012 · 2012
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Authorship attribution with topic models
Yanir Seroussi, Ingrid Zukerman, and Fabian Bohnert. 2014 · 2014
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Does size matter? authorship attribution, small samples, big problem
Maciej Eder. 2015 · 2015
Cited alongside, same era.
Authorship verification applied to detection of compromised accounts on online social networks: A continuous approach
Sylvio Barbon, Rodrigo Augusto Igawa, and Bruno Bogaz Zarpelão. 2017 · 2017
Cited alongside, same era.
User identity linkage across online social networks: A review
Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani, and Huan Liu. 2017 · 2017
Cited alongside, same era.
Computational forensic authorship analysis: Promises and pitfalls
Shlomo Argamon. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2020 · 2020
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Learning universal authorship representations
Rafael A Rivera-Soto, Olivia Elizabeth Miano, Juanita Ordonez, Barry Y Chen, Aleem Khan, Marcus Bishop, and Nicholas Andrews. 2021 · 2021
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Linking user accounts across social media platforms
Richard Sinnott and Zijian Wang. 2021 · 2021
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Canyu Chen, Haoran Wang, Matthew Shapiro, Yunyu Xiao, Fei Wang, and Kai Shu. 2022 · 2022
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The Idea of Progress in forensic authorship analysis
Tim Grant. 2022 · 2022
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Abhay Sharma, Ananya Nandan, and Reetika Ralhan. 2018 · 2018
Cited alongside, same era.
What represents “style” in authorship attribution?
Kalaivani Sundararajan and Damon Woodard. 2018 · 2018
Cited alongside, same era.
Similarity learning for authorship verification in social media
Benedikt Boenninghoff, Robert M Nickel, Steffen Zeiler, and Dorothea Kolossa. 2019 · 2019
Cited alongside, same era.
Attributing the bixby letter using n-gram tracing
Jack Grieve, Isobelle Clarke, Emily Chiang, Hannah Gideon, Annina Heini, Andrea Nini, and Emily Waibel. 2019 · 2019
Cited alongside, same era.
Justifying recommendations using distantly-labeled reviews and fine-grained aspects
Jianmo Ni, Jiacheng Li, and Julian McAuley. 2019 · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al. 2019 · 2019
Cited alongside, same era.
Exclusive: Fbi document warns conspiracy theories are a new domestic terrorism threat
Jana Winter. 2019 · 2019
Cited alongside, same era.
Javier Huertas-Tato, Alvaro Huertas-Garcia, Alejandro Martin, and David Camacho. 2022 · 2022
Later among the works it cites.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
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Same author or just same topic? towards content-independent style representations
Anna Wegmann, Marijn Schraagen, and Dong Nguyen. 2022 · 2022
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Who could be behind qanon? authorship attribution with supervised machine-learning
Florian Cafiero and Jean-Baptiste Camps. 2023 · 2023
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Gptq: Accurate post-training quantization for generative pre-trained transformers
Elias Frantar, Saleh Ashkboos, Torsten Hoefler, and Dan Alistarh. 2023 · 2023
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Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2023 · 2023
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Learning interpretable style embeddings via prompting llms
Ajay Patel, Delip Rao, and Chris Callison-Burch. 2023 · 2023
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Evaluating the social impact of generative ai systems in systems and society
Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan Baker, Su Lin Blodgett, Canyu Chen, Hal Daumé III, Jesse Dodge, Isabella Duan, et al. 2023 · 2023
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The science of detecting llm-generated texts
Ruixiang Tang, Yu-Neng Chuang, and Xia Hu. 2023 · 2023
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A survey on llm-gernerated text detection: Necessity, methods, and future directions
Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Derek F Wong, and Lidia S Chao. 2023 · 2023
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Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, and Huan Liu. 2024 · 2024
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Can editing llms inject harm?
Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, and Kai Shu. 2024 · 2024
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Machine-made media: Monitoring the mobilization of machine-generated articles on misinformation and mainstream news websites
Hans WA Hanley and Zakir Durumeric. 2024 · 2024
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Introducing v0. 5 of the ai safety benchmark from mlcommons
Bertie Vidgen, Adarsh Agrawal, Ahmed M Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, et al. 2024 · 2024
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A survey on detection of llms-generated content
Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda Petzold, William Yang Wang, and Wei Cheng. 2023 · 2024
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