Fetching the paper…
Reading the bibliography…
Recent progress in natural language generation has raised dual-use concerns.
A neural probabilistic language model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin · 2003
Earlier work this paper cites.
Finding deceptive opinion spam by any stretch of the imagination
Myle Ott, Yejin Choi, Claire Cardie, and Jeffrey T Hancock · 2011
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Exploring the limits of language modeling
Rafal Józefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, and Yonghui Wu · 2016
Earlier work this paper cites.
Sequence level training with recurrent neural networks
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba · 2016
Earlier work this paper cites.
Hoaxy: A platform for tracking online misinformation
Chengcheng Shao, Giovanni Luca Ciampaglia, Alessandro Flammini, and Filippo Menczer · 2016
Earlier work this paper cites.
Troops, trolls and troublemakers: A global inventory of organized social media manipulation
Samantha Bradshaw and Philip Howard · 2017
Earlier work this paper cites.
Reading wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes · 2017
Earlier work this paper cites.
Partisanship, propaganda, and disinformation: Online media and the 2016 us presidential election
Robert Faris, Hal Roberts, Bruce Etling, Nikki Bourassa, Ethan Zuckerman, and Yochai Benkler · 2017
Earlier work this paper cites.
Attacking automatic video analysis algorithms: A case study of google cloud video intelligence api
Hossein Hosseini, Baicen Xiao, Andrew Clark, and Radha Poovendran · 2017
Earlier work this paper cites.
Toward controlled generation of text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P Xing · 2017
Earlier work this paper cites.
Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov · 2017
Earlier work this paper cites.
Truth of varying shades: Analyzing language in fake news and political fact-checking
Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, and Yejin Choi · 2017
Earlier work this paper cites.
The role of familiarity in correcting inaccurate information
Briony Swire, Ullrich KH Ecker, and Stephan Lewandowsky · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
“liar, liar pants on fire”: A new benchmark dataset for fake news detection
William Yang Wang · 2017
Cited alongside, same era.
Fake news. it’s complicated
Claire Wardle · 2017
Cited alongside, same era.
Information disorder: Toward an interdisciplinary framework for research and policy making
Claire Wardle and Hossein Derakhshan · 2017
Cited alongside, same era.
Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, and Laurent Charlin · 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
Cited alongside, same era.
Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amapreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman · 2018
Later among the works it cites.
Swag: A large-scale adversarial dataset for grounded commonsense inference
Rowan Zellers, Yonatan Bisk, Roy Schwartz, and Yejin Choi · 2018
Later among the works it cites.
Avoid These Fake News Sites at All Costs
Rachel Dicker · 2019
Closest in time.
Constant-time machine translation with conditional masked language models
Marjan Ghazvininejad, Omer Levy, Yinhan Liu, and Luke Zettlemoyer · 2019
Closest in time.
Insertion-based decoding with automatically inferred generation order
Jiatao Gu, Qi Liu, and Kyunghyun Cho · 2019
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Facebook says it has uncovered a coordinated disinformation operation ahead of the 2018 midterm elections
Elizabeth Dwoskin and Tony Romm · 2018
Cited alongside, same era.
Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin · 2018
Cited alongside, same era.
It’s time to do something: Mitigating the negative impacts of computing through a change to the peer review process
Brent Hecht, Lauren Wilcox, Jeffrey P. Bigham, Johannes Schöning, Ehsan Hoque, Jason Ernnst, Yonatan Bisk, Luigi De Russis, Lana Yarosh, Bushra Anjum, Danish Contractor, and Cathy Wu · 2018
Cited alongside, same era.
News feed fyi: Helping ensure news on facebook is from trusted sources
Adam Mosseri · 2018
Cited alongside, same era.
Automatic detection of fake news
Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre, and Rada Mihalcea · 2018
Cited alongside, same era.
Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer · 2018
Cited alongside, same era.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever · 2018
Cited alongside, same era.
Unsupervised domain adaptation of contextualized embeddings: A case study in early modern english
Xiaochuang Han and Jacob Eisenstein · 2019
Closest in time.
Unifying human and statistical evaluation for natural language generation
Tatsunori B Hashimoto, Hugh Zhang, and Percy Liang · 2019
Closest in time.
The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Maxwell Forbes, and Yejin Choi · 2019
Closest in time.
Cutting the funding of disinformation: The ad-tech solution
Clare Melford and Craig Fagan · 2019
Closest in time.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
Closest in time.
Release strategies and the social impacts of language models
Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, and Jasmine Wang · 2019
Closest in time.
Insertion transformer: Flexible sequence generation via insertion operations
Mitchell Stern, William Chan, Jamie Kiros, and Jakob Uszkoreit · 2019
Closest in time.
Catching a unicorn with gltr: A tool to detect automatically generated text
Hendrik Strobelt and Sebastian Gehrmann · 2019
Closest in time.
Why we released grover
Rowan Zellers · 2019
Closest in time.