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Persona assignment has become a common strategy for customizing LLM use to particular tasks and contexts.
Language (technology) is power: A critical survey of “bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
Earlier work this paper cites.
Using large language models to simulate multiple humans and replicate human subject studies
Gati V Aher, Rosa I Arriaga, and Adam Tauman Kalai. 2023 · 2023
Earlier work this paper cites.
Compost: Characterizing and evaluating caricature in llm simulations
Myra Cheng, Tiziano Piccardi, and Diyi Yang. 2023b · 2023
Earlier work this paper cites.
Toxicity in chatgpt: Analyzing persona-assigned language models
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, and Karthik Narasimhan. 2023 · 2023
Earlier work this paper cites.
Towards measuring the representation of subjective global opinions in language models
Esin Durmus, Karina Nyugen, Thomas I Liao, Nicholas Schiefer, Amanda Askell, Anton Bakhtin, Carol Chen, Zac Hatfield-Dodds, Danny Hernandez, Nicholas Joseph, et al. 2023 · 2023
Earlier work this paper cites.
Bias runs deep: Implicit reasoning biases in persona-assigned llms
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, and Tushar Khot. 2023 · 2023
Earlier work this paper cites.
Generative large language models for dialog-based tutoring: An early consideration of opportunities and concerns
B Nye, Dillon Mee, and Mark G Core. 2023 · 2023
Earlier work this paper cites.
Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
Cited alongside, same era.
Whose opinions do language models reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto. 2023 · 2023
Cited alongside, same era.
Enhancing credit risk reports generation using llms: An integration of bayesian networks and labeled guide prompting
Ana Clara Teixeira, Vaishali Marar, Hamed Yazdanpanah, Aline Pezente, and Mohammad Ghassemi. 2023 · 2023
Cited alongside, same era.
Do llms exhibit human-like response biases? a case study in survey design
Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu, Ameet Talwalkar, and Graham Neubig. 2023 · 2023
Cited alongside, same era.
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, et al. 2023 · 2023
Lookalike: Human mimicry based collaborative decision making
Rabimba Karanjai and Weidong Shi. 2024 · 2024
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Evaluating large language model biases in persona-steered generation
Andy Liu, Mona Diab, and Daniel Fried. 2024 · 2024
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Canada, britain favored most in u.s.; russia, n. korea least
Megan Brenan. 2023 · 2024
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Using an llm to help with code understanding
Daye Nam, Andrew Macvean, Vincent Hellendoorn, Bogdan Vasilescu, and Brad Myers. 2024 · 2024
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An empirical study on usage and perceptions of llms in a software engineering project
Sanka Rasnayaka, Guanlin Wang, Ridwan Shariffdeen, and Ganesh Neelakanta Iyer. 2024 · 2024
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Cited alongside, same era.
Mahammed Kamruzzaman and Gene Louis Kim. 2024 · 2024
Cited alongside, same era.
Mahammed Kamruzzaman, Hieu Nguyen, Nazmul Hassan, and Gene Louis Kim. 2024 · 2024
Cited alongside, same era.
Marked personas: Using natural language prompts to measure stereotypes in language models
Myra Cheng, Esin Durmus, and Dan Jurafsky. 2023a
Cited in the paper.
Overall opinion of the u.s
Richard Wike et al. 2023 · 2024
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