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Human judgments are inherently subjective and are actively affected by personal traits such as gender and ethnicity.
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, et al. 2020 · 1901
Earlier work this paper cites.
When multiplication doesn’t equal quick addition: Examining intersectionality as a research paradigm
Ange-Marie Hancock. 2007 · 2007
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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Identifying and measuring annotator bias based on annotators’ demographic characteristics
Hala Al Kuwatly, Maximilian Wich, and Georg Groh. 2020 · 2020
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Towards understanding and mitigating social biases in language models
Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, and Ruslan Salakhutdinov. 2021 · 2021
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Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022 · 2022
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Out of one, many: Using language models to simulate human samples
Lisa P Argyle, Ethan C Busby, Nancy Fulda, Joshua R Gubler, Christopher Rytting, and David Wingate. 2023 · 2023
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Minje Choi, Jiaxin Pei, Sagar Kumar, Chang Shu, and David Jurgens. 2023 · 2023
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Toxicity in chatgpt: Analyzing persona-assigned language models
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, and Karthik Narasimhan. 2023 · 2023
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Questioning the survey responses of large language models
Ricardo Dominguez-Olmedo, Moritz Hardt, and Celestine Mendler-Dünner. 2023 · 2023
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From pretraining data to language models to downstream tasks: Tracking the trails of political biases leading to unfair NLP models
Shangbin Feng, Chan Young Park, Yuhan Liu, and Yulia Tsvetkov. 2023 · 2023
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Aligning language models to user opinions
EunJeong Hwang, Bodhisattwa Prasad Majumder, and Niket Tandon. 2023 · 2023
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Camels in a changing climate: Enhancing lm adaptation with tulu 2
Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, and Hannaneh Hajishirzi. 2023 · 2023
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Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, and Xingyi Song. 2023 · 2023
Sotopia: Interactive evaluation for social intelligence in language agents
Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, and Maarten Sap. 2023 · 2023
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Can large language models transform computational social science?
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Exploring the psychology of llms’ moral and legal reasoning
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OpenAI. 2023 · 2023
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When do annotator demographics matter? measuring the influence of annotator demographics with the popquorn dataset
Jiaxin Pei and David Jurgens. 2023 · 2023
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Respectful or toxic? using zero-shot learning with language models to detect hate speech
Flor Miriam Plaza-del arco, Debora Nozza, and Dirk Hovy. 2023 · 2023
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Towards coding social science datasets with language models
Christopher Michael Rytting, Taylor Sorensen, Lisa Argyle, Ethan Busby, Nancy Fulda, Joshua Gubler, and David Wingate. 2023 · 2023
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Ul2: Unifying language learning paradigms
Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Siamak Shakeri, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, and Donald Metzler. 2023 · 2023
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Rolellm: Benchmarking, eliciting, and enhancing role-playing abilities of large language models
Zekun Moore Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Man Zhang, et al. 2023 · 2023
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Whose opinions do language models reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto. 2023a
Cited in the paper.
Whose opinions do language models reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto. 2023b
Cited in the paper.
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Evaluating the prompt steerability of large language models
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A roadmap to pluralistic alignment
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From task structures to world models: what do llms know?
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