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Large Language Models (LLMs) perform impressively well in various applications.
Exploring the limits of transfer learning with a unified text-to-text transformer, 2019
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 1910
Earlier work this paper cites.
Comparison of two pseudo-random number generators
Lenore Blum, Manuel Blum, and Mike Shub · 1982
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How to generate cryptographically strong sequences of pseudorandom bits
Manuel Blum and Silvio Micali · 1984
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Natural language watermarking: Design, analysis, and a proof-of-concept implementation
Mikhail J Atallah, Victor Raskin, Michael Crogan, Christian Hempelmann, Florian Kerschbaum, Dina Mohamed, and Sanket Naik · 2001
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Attacking neural text detectors
Max Wolff · 2002
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Linguistic steganography on twitter: hierarchical language modeling with manual interaction
Alex Wilson, Phil Blunsom, and Andrew D Ker · 2014
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The quality of the covariance selection through detection problem and AUC bounds
Navid Tafaghodi Khajavi and Anthony Kuh · 2016
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang · 2016
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Shashi Narayan, Shay B. Cohen, and Mirella Lapata · 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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Gltr: Statistical detection and visualization of generated text
Sebastian Gehrmann, Hendrik Strobelt, and Alexander M Rush · 2019
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Automatic detection of generated text is easiest when humans are fooled
Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, and Douglas Eck · 2019
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PubMedQA: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu · 2019
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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
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Gpt-2: 1.5b release
OpenAI · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 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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Deepfake bot submissions to federal public comment websites cannot be distinguished from human submissions
Max Weiss · 2019
Cited alongside, same era.
Generating sentiment-preserving fake online reviews using neural language models and their human-and machine-based detection
David Ifeoluwa Adelani, Haotian Mai, Fuming Fang, Huy H Nguyen, Junichi Yamagishi, and Isao Echizen · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Tweepfake: About detecting deepfake tweets. arxiv
T Fagni, F Falchi, M Gambini, A Martella, and M Tesconi · 2020
Cited alongside, same era.
Automatic detection of machine generated text: A critical survey
Ganesh Jawahar, Muhammad Abdul-Mageed, and Laks VS Lakshmanan · 2020
Cnet secretly used ai on articles that didn’t disclose that fact, staff say
Jon Christian · 2023
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Turn-it-in: Ai fails students for not using ai
Mehul Reuben Das · 2023
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We tested a new chatgpt-detector for teachers. it flagged an innocent student
Geoffrey A. Fowler · 2023
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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
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Gpt detectors are biased against non-native english writers, 2023
Weixin Liang, Mert Yuksekgonul, Yining Mao, Eric Wu, and James Zou · 2023
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Large language models can be guided to evade ai-generated text detection
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Cited alongside, same era.
“kafkai: Ai writer & ai content generator”
Kafkai · 2020
Cited alongside, same era.
Parrot: Paraphrase generation for nlu., 2021
Prithiviraj Damodaran · 2021
Cited alongside, same era.
My ai safety lecture for ut effective altruism
Scott Aaronson · 2022
Cited alongside, same era.
Accused of cheating by an algorithm, and a professor she had never met
Kashmir Hill · 2022
Cited alongside, same era.
Certifying model accuracy under distribution shifts
Aounon Kumar, Alexander Levine, Tom Goldstein, and Soheil Feizi · 2022
Cited alongside, same era.
Chatgpt: Optimizing language models for dialogue
OpenAI · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Ning Lu, Shengcai Liu, Rui He, Qi Wang, Yew-Soon Ong, and Ke Tang · 2023
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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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Gpt-4 technical report
OpenAI · 2023
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Deepfake text detection: Limitations and opportunities
J. Pu, Z. Sarwar, S. Abdullah, A. Rehman, Y. Kim, P. Bhattacharya, M. Javed, and B. Viswanath · 2023
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Professor freezes student grades after chatgpt claimed ai wrote their papers
Katyanna Quach · 2023
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Cuda: Convolution-based unlearnable datasets
Vinu Sankar Sadasivan, Mahdi Soltanolkotabi, and Soheil Feizi · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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M4: Multi-generator, multi-domain, and multi-lingual black-box machine-generated text detection, 2023
Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Alham Fikri Aji, and Preslav Nakov · 2023
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Llm detectors still fall short of real world: Case of llm-generated short news-like posts, 2024
Henrique Da Silva Gameiro, Andrei Kucharavy, and Ljiljana Dolamic · 2024
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On the learnability of watermarks for language models, 2024
Chenchen Gu, Xiang Lisa Li, Percy Liang, and Tatsunori Hashimoto · 2024
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Robust distortion-free watermarks for language models, 2024
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, and Percy Liang · 2024
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Mage: Machine-generated text detection in the wild, 2024
Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, and Yue Zhang · 2024
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Watermarks in the sand: Impossibility of strong watermarking for generative models, 2024
Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, and Boaz Barak · 2024
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