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We present Pangram Text, a transformer-based neural network trained to distinguish text written by large language models from text written by humans.
A survey of deep active learning
Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, and Xin Wang · 2009
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Object detection with discriminatively trained part based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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Enron email dataset
Enron Corp and William W. Cohen · 2015
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Training region-based object detectors with online hard example mining
Abhinav Shrivastava, Abhinav Gupta, and Ross Girshick · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Hierarchical neural story generation, 2018
Angela Fan, Mike Lewis, and Yann Dauphin · 2018
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Eli5: Long form question answering, 2019
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, and Michael Auli · 2019
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A question-entailment approach to question answering
Asma and Dina Demner-Fushman · 2019
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Active learning for deep detection neural networks
Hamed Habibi Aghdam et al · 2019
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Gltr: Statistical detection and visualization of generated text, 2019
Sebastian Gehrmann, Hendrik Strobelt, and Alexander M. Rush · 2019
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Language models are few-shot learners, 2020
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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The multilingual Amazon reviews corpus
Phillip Keung, Yichao Lu, György Szarvas, and Noah A. Smith · 2020
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Xl-sum: Large-scale multilingual abstractive summarization for 44 languages
Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam, Kazi Samin, Yuan-Fang Li, Yong-Bin Kang, M Sohel Rahman, and Rifat Shahriyar · 2021
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Feedback prize - english language learning, 2022
Alex Franklin, Maggie, Meg Benner, Natalie Rambis, Perpetual Baffour, Ryan Holbrook, Scott Crossley, and ulrichboser · 2022
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Gemini: A family of highly capable multimodal models, 2023
Google · 2023
Cited alongside, same era.
Can linguists distinguish between chatgpt/ai and human writing?: A study of research ethics and academic publishing
J. Elliott Casal and Matt Kessler · 2023
Cited alongside, same era.
Gptzero: Towards detection of ai-generated text using zero-shot and supervised methods, 2023
Edward Tian and Alexander Cui · 2023
Cited alongside, same era.
Testing of detection tools for ai-generated text
Debora Weber-Wulff, Alla Anohina-Naumeca, Sonja Bjelobaba, Tomáš Foltýnek, Jean Guerrero-Dib, Olumide Popoola, Petr Šigut, and Lorna Waddington · 2023
Cited alongside, same era.
Guidance on ai detection and why we’re disabling turnitin’s ai detector, 8 2023
Vanderbilt · 2023
Cited alongside, same era.
Gpt detectors are biased against non-native english writers, 2023
Esl bias in ai detection is an outdated narrative
Edward Tian · 2023
Later among the works it cites.
The ICNALE Guide: An Introduction to a Learner Corpus Study on Asian Learners’ L2 English
S. Ishikawa · 2023
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Detectllm: Leveraging log rank information for zero-shot detection of machine-generated text, 2023
Jinyan Su, Terry Yue Zhuo, Di Wang, and Preslav Nakov · 2023
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Origin tracing and detecting of llms, 2023
Linyang Li, Pengyu Wang, Ke Ren, Tianxiang Sun, and Xipeng Qiu · 2023
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Seqxgpt: Sentence-level ai-generated text detection, 2023
Pengyu Wang, Linyang Li, Ke Ren, Botian Jiang, Dong Zhang, and Xipeng Qiu · 2023
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On the zero-shot generalization of machine-generated text detectors, 2023
Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, and Tianxing He · 2023
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Weixin Liang, Mert Yuksekgonul, Yining Mao, Eric Wu, and James Zou · 2023
Cited alongside, same era.
Detectgpt: Zero-shot machine-generated text detection using probability curvature, 2023
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, and Chelsea Finn · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models, 2023
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom · 2023
Cited alongside, same era.
Mistral 7b, 2023
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
Cited alongside, same era.
Introducing claude, 2023
Anthropic · 2023
Cited alongside, same era.
Smaller language models are better black-box machine-generated text detectors, 2023
Fatemehsadat Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, and Taylor Berg-Kirkpatrick · 2023
Cited alongside, same era.
Ghostbuster: Detecting text ghostwritten by large language models, 2023
Vivek Verma, Eve Fleisig, Nicholas Tomlin, and Dan Klein · 2023
Cited alongside, same era.
Later among the works it cites.
Radar: Robust ai-text detection via adversarial learning, 2023
Xiaomeng Hu, Pin-Yu Chen, and Tsung-Yi Ho · 2023
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A watermark for large language models, 2023
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, and Tom Goldstein · 2023
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Can ai-generated text be reliably detected?, 2023
Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, and Soheil Feizi · 2023
Later among the works it cites.
Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense, 2023
Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, and Mohit Iyyer · 2023
Later among the works it cites.
Chatgpt dominates llm (large language models) mentions on social media in 2023, bard distant second
GlobalData · 2024
Closest in time.
Mixtral of experts, 2024
Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2024
Closest in time.
https://sites.google.com/view/fiqa/home , 2018
Fiqa - 2018 · 2024
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New ai classifier for indicating ai-written text
OpenAI · 2024
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