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As large language models (LLMs) become an important way of information access, there have been increasing concerns that LLMs may intensify the spread of unethical content, including implicit bias that hurts certain populations without explicit harmful words.
Self-perception: An alternative interpretation of cognitive dissonance phenomena
Daryl J Bem. 1967 · 1967
Earlier work this paper cites.
An analysis of imitative learning in animals
Thomas R Zentall. 1996 · 1996
Earlier work this paper cites.
Task switching
Stephen Monsell. 2003 · 2003
Earlier work this paper cites.
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 · 2004
Earlier work this paper cites.
Imitation: definitions, evidence, and mechanisms
Thomas R Zentall. 2006 · 2006
Earlier work this paper cites.
Neural correlates of cognitive dissonance and choice-induced preference change
Keise Izuma, Madoka Matsumoto, Kou Murayama, Kazuyuki Samejima, Norihiro Sadato, and Kenji Matsumoto. 2010 · 2010
Earlier work this paper cites.
The neuroscience of goals and behavior change
Elliot T Berkman. 2018 · 2018
Earlier work this paper cites.
Interventions designed to reduce implicit prejudices and implicit stereotypes in real world contexts: a systematic review
Chloë FitzGerald, Angela Martin, Delphine Berner, and Samia Hurst. 2019 · 2019
Earlier work this paper cites.
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Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, and Noah A Smith. 2020 · 2020
Earlier work this paper cites.
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Ashutosh Baheti, Maarten Sap, Alan Ritter, and Mark Riedl. 2021 · 2021
Earlier work this paper cites.
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Mai ElSherief, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, and Diyi Yang. 2021 · 2021
Earlier work this paper cites.
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Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A Smith, and Yejin Choi. 2021 · 2021
Earlier work this paper cites.
Societal biases in language generation: Progress and challenges
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2021 · 2021
Earlier work this paper cites.
Implicitly abusive language–what does it actually look like and why are we not getting there?
Michael Wiegand, Josef Ruppenhofer, and Elisabeth Eder. 2021 · 2021
Earlier work this paper cites.
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Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, and Emily Dinan. 2021 · 2021
Earlier work this paper cites.
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Jiawen Deng, Jingyan Zhou, Hao Sun, Chujie Zheng, Fei Mi, Helen Meng, and Minlie Huang. 2022 · 2022
Earlier work this paper cites.
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Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang. 2022 · 2022
Earlier work this paper cites.
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Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, and Ece Kamar. 2022 · 2022
Earlier work this paper cites.
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Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, et al. 2022 · 2022
Earlier work this paper cites.
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Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
Earlier work this paper cites.
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Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, and Minlie Huang. 2022 · 2022
Cited alongside, same era.
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Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al. 2022 · 2022
Cited alongside, same era.
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Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, et al. 2022 · 2022
Cited alongside, same era.
Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, et al. 2022 · 2022
Cited alongside, same era.
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