Fetching the paper…
Reading the bibliography…
The adoption of natural language generation (NLG) models can leave individuals vulnerable to the generation of harmful information memorized by the models, such as conspiracy theories.
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, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris 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 · 1901
Earlier work this paper cites.
Mitigating gender bias in natural language processing: Literature review
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, and William Yang Wang. 2019 · 1906
Earlier work this paper cites.
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 · 1908
Earlier work this paper cites.
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 1910
Earlier work this paper cites.
Belief in conspiracy theories
Ted Goertzel. 1994 · 1994
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Introduction to mathematical statistics
Robert V Hogg, Joseph McKean, and Allen T Craig. 2005 · 2005
Earlier work this paper cites.
Outrageous conspiracy theories: Popular and official responses to 9/11 in Germany and the United States
Peter Knight. 2008 · 2008
Earlier work this paper cites.
It was all a fake, right?
Piers Bizony. 2009 · 2009
Earlier work this paper cites.
The radicalization risks of GPT-3 and advanced neural language models
Kris McGuffie and Alex Newhouse. 2020 · 2009
Earlier work this paper cites.
Conspiracy theories in science: Conspiracy theories that target specific research can have serious consequences for public health and environmental policies
Ted Goertzel. 2010 · 2010
Earlier work this paper cites.
A postmodern Pandora’s box: anti-vaccination misinformation on the internet
Anna Kata. 2010 · 2010
Earlier work this paper cites.
”Got You!”: Automatic Vandalism Detection in Wikipedia with Web-based Shallow Syntactic-Semantic Modeling
William Yang Wang and K. McKeown. 2010 · 2010
Earlier work this paper cites.
Extracting training data from large language models
Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, et al. 2020 · 2012
Earlier work this paper cites.
NASA faked the moon landing—therefore, (climate) science is a hoax: An anatomy of the motivated rejection of science
Stephan Lewandowsky, Klaus Oberauer, and Gilles E Gignac. 2013 · 2013
Earlier work this paper cites.
Vader: A parsimonious rule-based model for sentiment analysis of social media text
CHE Gilbert and Erric Hutto. 2014 · 2014
Earlier work this paper cites.
Conspiracy theories and the paranoid style (s) of mass opinion
J Eric Oliver and Thomas J Wood. 2014 · 2014
Cited alongside, same era.
Science vs conspiracy: Collective narratives in the age of misinformation
Alessandro Bessi, Mauro Coletto, George Alexandru Davidescu, Antonio Scala, Guido Caldarelli, and Walter Quattrociocchi. 2015 · 2015
Cited alongside, same era.
Climate change: Why the conspiracy theories are dangerous
Karen M. Douglas and Robbie M. Sutton. 2015 · 2015
Cited alongside, same era.
Down the (white) rabbit hole: The extreme right and online recommender systems
Derek O’Callaghan, Derek Greene, Maura Conway, Joe Carthy, and Pádraig Cunningham. 2015 · 2015
Cited alongside, same era.
The conspiracy-effect: Exposure to conspiracy theories (about global warming) decreases pro-social behavior and science acceptance
Sander van der Linden. 2015 · 2015
Cited alongside, same era.
The secret sharer: Evaluating and testing unintended memorization in neural networks
Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song. 2019 · 2019
Later among the works it cites.
Understanding conspiracy theories
Karen M Douglas, Joseph E Uscinski, Robbie M Sutton, Aleksandra Cichocka, Turkay Nefes, Chee Siang Ang, and Farzin Deravi. 2019 · 2019
Later among the works it cites.
Pathways to conspiracy: The social and linguistic precursors of involvement in Reddit’s conspiracy theory forum
Colin Klein, Peter Clutton, and Adam G Dunn. 2019 · 2019
Later among the works it cites.
A simple recipe towards reducing hallucination in neural surface realisation
Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, and Chin-Yew Lin. 2019 · 2019
Later among the works it cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Michael Buhrmester, Tracy Kwang, and Samuel D Gosling. 2016 · 2016
Cited alongside, same era.
Incorporating copying mechanism in sequence-to-sequence learning
Jiatao Gu, Zhengdong Lu, Hang Li, and Victor O.K. Li. 2016 · 2016
Cited alongside, same era.
Research in the crowdsourcing age: A case study
Paul Hitlin. 2016 · 2016
Cited alongside, same era.
Smart reply: Automated response suggestion for email
Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufman, Balint Miklos, Greg Corrado, Andrew Tomkins, Laszlo Lukacs, Marina Ganea, Peter Young, and Vivek Ramavajjala. 2016 · 2016
Cited alongside, same era.
The psychology of conspiracy theories
Karen M Douglas, Robbie M Sutton, and Aleksandra Cichocka. 2017 · 2017
Cited alongside, same era.
Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification
Tuhin Chakrabarty, Tariq Alhindi, and Smaranda Muresan. 2018 · 2018
Cited alongside, same era.
Learning and memorization
Satrajit Chatterjee. 2018 · 2018
Cited alongside, same era.
A Radhakrishnan, KD Yang, M Belkin, and C Uhler. 2019 · 2019
Later among the works it cites.
The woman worked as a babysitter: On biases in language generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2019 · 2019
Later among the works it cites.
COVID-19 and the 5G conspiracy theory: social network analysis of Twitter data
Wasim Ahmed, Josep Vidal-Alaball, Joseph Downing, and Francesc López Seguí. 2020 · 2020
Later among the works it cites.
What neural networks memorize and why: Discovering the long tail via influence estimation
Vitaly Feldman and Chiyuan Zhang. 2020 · 2020
Later among the works it cites.
Investigating African-American Vernacular English in transformer-based text generation
Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza, and William Yang Wang. 2020 · 2020
Later among the works it cites.
Why do people believe COVID-19 conspiracy theories?
Joseph E Uscinski, Adam M Enders, Casey Klofstad, Michelle Seelig, John Funchion, Caleb Everett, Stefan Wuchty, Kamal Premaratne, and Manohar Murthi. 2020 · 2020
Later among the works it cites.
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, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
Later among the works it cites.
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Later among the works it cites.
Wanrong Zhu, Xin Eric Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, and William Yang Wang. 2020 · 2020
Later among the works it cites.
On the dangers of stochastic parrots: Can language models be too big
Emily M Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
Closest in time.