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Language models (LMs) must be both safe and equitable to be responsibly deployed in practice.
CTRL: A conditional transformer language model for controllable generation
Nitish Shirish Keskar, Bryan McCann, Lav R Varshney, Caiming Xiong, and Richard Socher. 2019 · 1909
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Catastrophic interference in connectionist networks: The sequential learning problem
Michael McCloskey and Neal J Cohen. 1989 · 1989
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African American English: A linguistic introduction
Lisa Green. 2002 · 2002
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Recipes for building an open-domain chatbot
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Kurt Shuster, Eric M. Smith, Y-Lan Boureau, and Jason Weston. 2020 · 2004
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Chris J Kennedy, Geoff Bacon, Alexander Sahn, and Claudia von Vacano. 2020 · 2009
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GeDi: Generative discriminator guided sequence generation
Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq Joty, Richard Socher, and Nazneen Fatema Rajani. 2020 · 2009
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Recipes for safety in open-domain chatbots
Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, and Emily Dinan. 2020 · 2010
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Undoing appropriateness: Raciolinguistic ideologies and language diversity in education
Nelson Flores and J. Rosa. 2015 · 2015
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Discrimination in America: Experiences and views
RWJF. 2017 · 2017
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Measuring and mitigating unintended bias in text classification
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2018 · 2018
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Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
Cited alongside, same era.
Ethical challenges in data-driven dialogue systems
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, and Joelle Pineau. 2018 · 2018
Cited alongside, same era.
Examining gender and race bias in two hundred sentiment analysis systems
Svetlana Kiritchenko and Saif M Mohammad. 2018 · 2018
Cited alongside, same era.
Microsoft’s politically correct chatbot is even worse than its racist one
Chloe Rose Stuart-Ulin. 2018 · 2018
Cited alongside, same era.
Don’t take the easy way out: Ensemble based methods for avoiding known dataset biases
Christopher Clark, Mark Yatskar, and Luke Zettlemoyer. 2019 · 2019
Cited alongside, same era.
Distributionally robust language modeling
Yonatan Oren, Shiori Sagawa, Tatsunori B Hashimoto, and Percy Liang. 2019 · 2019
Plug and play language models: A simple approach to controlled text generation
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, and Rosanne Liu. 2020 · 2020
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RealToxicityPrompts: Evaluating neural toxic degeneration in language models
Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, and Noah A. Smith. 2020 · 2020
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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
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Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith. 2020 · 2020
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Fighting hate speech, silencing drag queens? Artificial intelligence in content moderation and risks to LGBTQ voices online
Thiago Dias Oliva, Dennys Marcelo Antonialli, and Alessandra Gomes. 2020 · 2020
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Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Cited alongside, same era.
The risk of racial bias in hate speech detection
Maarten Sap, Dallas Card, Saadia Gabriel, Choi Yejin, and Noah Smith. 2019 · 2019
Cited alongside, same era.
Universal adversarial triggers for attacking and analyzing NLP
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, and Sameer Singh. 2019 · 2019
Cited alongside, same era.
Language (technology) is power: A critical survey of “bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
Cited alongside, same era.
Later among the works it cites.
Social bias frames: Reasoning about social and power implications of language
Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A Smith, and Yejin Choi. 2020 · 2020
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Towards controllable biases in language generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2020 · 2020
Later among the works it cites.
AutoPrompt: Eliciting knowledge from language models with automatically generated prompts
Taylor Shin, Yasaman Razeghi, Robert L Logan IV, Eric Wallace, and Sameer Singh. 2020 · 2020
Later among the works it cites.
Challenges in automated debiasing for toxic language detection
Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A Smith, and Yejin Choi. 2021 · 2021
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