Persistent anti-Muslim bias in large language models
Abubakar Abid, Maheen Farooqi, and James Zou. 2021 · 2021
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Htlm: Hyper-text pre-training and prompting of language models
Original
Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, and Luke Zettlemoyer. 2021 · 2021
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Addressing “documentation debt” in machine learning: A retrospective datasheet for BookCorpus
Jack Bandy and Nicholas Vincent. 2021 · 2021
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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
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Sociolinguistically Driven Approaches for Just Natural Language Processing
Su Lin Blodgett. 2021 · 2021
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Voices investigation: Few black, latinx students are editors of top college newspapers
Janice Kai Chen, Ilena Peng, Jasen Lo, Trisha Ahmed, Simon J. Levien, and Devan Karp. 2021 · 2021
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Documenting the english colossal clean crawled corpus
Original
Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, and Matt Gardner. 2021 · 2021
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Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity
Original
William Fedus, Barret Zoph, and Noam Shazeer. 2021 · 2021
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An empirical exploration in quality filtering of text data
Original
Leo Gao. 2021 · 2021
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Upvoting extremism: Collective identity formation and the extreme right on reddit
Tiana Gaudette, Ryan Scrivens, Garth Davies, and Richard Frank. 2021 · 2021
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Datasheets for datasets
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford. 2021 · 2021
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The importance of modeling social factors of language: Theory and practice
Dirk Hovy and Diyi Yang. 2021 · 2021
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Where is the diversity in publishing? The 2019 diversity baseline survey results
Lee & Low Books. 2020 · 2021
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Characterizing English Variation across Social Media Communities with BERT
Li Lucy and David Bamman. 2021 · 2021
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Mapping wikipedia
Michael Mandiberg. 2020 · 2021
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“I don’t think these devices are very culturally sensitive.”—Impact of automated speech recognition errors on African Americans
Zion Mengesha, Courtney Heldreth, Michal Lahav, Juliana Sublewski, and Elyse Tuennerman. 2021 · 2021
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On learning and representing social meaning in NLP: A sociolinguistic perspective
Dong Nguyen, Laura Rosseel, and Jack Grieve. 2021 · 2021
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Scaling language models: Methods, analysis & insights from training gopher
Original
Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d’Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew Johnson, Blake Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Ed Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, and Geoffrey Irving. 2021 · 2021
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Annotators with attitudes: How annotator beliefs and identities bias toxic language detection
Original
Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, and Noah A. Smith. 2021 · 2021
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Why the data revolution needs qualitative thinking
Anissa Tanweer, Emily Kalah Gade, PM Krafft, and Sarah K Dreier. 2021 · 2021
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MultiLexNorm: A shared task on multilingual lexical normalization
Rob van der Goot, Alan Ramponi, Arkaitz Zubiaga, Barbara Plank, Benjamin Muller, Iñaki San Vicente Roncal, Nikola Ljubešić, Özlem Çetinoğlu, Rahmad Mahendra, Talha Çolakoğlu, Timothy Baldwin, Tommaso Caselli, and Wladimir Sidorenko. 2021 · 2021
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The Associated Press stylebook 2020-2022
Paula Froke, Anna Jo Bratton, Jeff McMillan, Pia Sarkar, Jerry Schwartz, and Raghuram Vadarevu. 2020 · 2022
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Newsroom employees are less diverse than U.S. workers overall
Elizabeth Grieco. 2018 · 2022
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Wikipedia fails to bridge gender gap
Keira Huang. 2013 · 2022
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Using deepspeed and megatron to train megatron-turing nlg 530b, the world’s largest and most powerful generative language model
Paresh Kharya and Ali Alvi. 2021 · 2022
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Can Americans tell factual from opinion statements in the news?
Amy Mitchell, Jeffrey Gottfried, Michael Barthel, and Nami Sumida. 2018 · 2022
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Improving language understanding with unsupervised learning
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2022
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2022
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What makes people share political content on social media? The role of emotion, authority and ideology
Jason Weismueller, Paul Harrigan, Kristof Coussement, and Tina Tessitore. 2022 · 2022
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