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One way to personalize and steer generations from large language models (LLM) is to assign a persona: a role that describes how the user expects the LLM to behave (e.g., a helpful assistant, a teacher, a woman).
The use of ranks to avoid the assumption of normality implicit in the analysis of variance
Milton Friedman. 1937 · 1937
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A New Measure of Rank Correlation
M. G. Kendall. 1938 · 1938
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Large language models in medicine
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The coparson of percentages in matched samples
W. G. Cochran. 1950 · 1950
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Modern racism, ambivalence, and the Modern Racism Scale
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Hate speech and constitutional protection: Priming values of equality and freedom
G. Cowan, M. Resendez, E. Marshall, and R. Quist. 2002 · 2002
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Genetic and environmental influences on human psychological differences
Thomas J Bouchard Jr and Matt McGue. 2003 · 2003
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The hierarchical structure of the Interpersonal Reactivity Index
Steven Pulos, Jeff Elison, and Randy Lennon. 2004 · 2004
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The Significance of Hedonic Values for Environmentally Relevant Attitudes, Preferences, and Actions
Linda Steg, Goda Perlaviciute, Ellen van der Werff, and Judith Lurvink. 2014 · 2014
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User’s guide to correlation coefficients
Haldun Akoglu. 2018 · 2018
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Content analysis: An introduction to its methodology
Klaus Krippendorff. 2018 · 2018
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Measuring Massive Multitask Language Understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt. 2020 · 2020
Cited alongside, same era.
The Curious Case of Neural Text Degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
Cited alongside, same era.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
Cited alongside, same era.
TruthfulQA: Measuring How Models Mimic Human Falsehoods
Stephanie Lin, Jacob Hilton, and Owain Evans. 2022 · 2022
Cited alongside, same era.
Who is GPT-3? An exploration of personality, values and demographics
Marilù Miotto, Nicola Rossberg, and Bennett Kleinberg. 2022 · 2022
Cited alongside, same era.
In-Context Impersonation Reveals Large Language Models’ Strengths and Biases
Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, and Zeynep Akata. 2023 · 2023
Later among the works it cites.
Zephyr: Direct distillation of lm alignment
Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro von Werra, Clémentine Fourrier, Nathan Habib, Nathan Sarrazin, Omar Sanseviero, Alexander M. Rush, and Thomas Wolf. 2023 · 2023
Later among the works it cites.
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems
Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, and Kai-Wei Chang. 2023 · 2023
Later among the works it cites.
Large language models meet NL2Code: A survey
Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Wang Yongji, and Jian-Guang Lou. 2023 · 2023
Later among the works it cites.
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OpenAI. 2022 · 2022
Cited alongside, same era.
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, and Noah A. Smith. 2022 · 2022
Cited alongside, same era.
Wordcraft: Story Writing With Large Language Models
Ann Yuan, Andy Coenen, Emily Reif, and Daphne Ippolito. 2022 · 2022
Cited alongside, same era.
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models
Myra Cheng, Esin Durmus, and Dan Jurafsky. 2023 · 2023
Cited alongside, same era.
Toxicity in chatgpt: Analyzing persona-assigned language models
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, and Karthik Narasimhan. 2023 · 2023
Cited alongside, same era.
ChatGPT for good? On opportunities and challenges of large language models for education
Enkelejda Kasneci, Kathrin Sessler, Stefan Küchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan Günnemann, Eyke Hüllermeier, Stephan Krusche, Gitta Kutyniok, Tilman Michaeli, Claudia Nerdel, Jürgen Pfeffer, Oleksandra Poquet, Michael Sailer, Albrecht Schmidt, Tina Seidel, Matthias Stadler, Jochen Weller, Jochen Kuhn, and Gjergji Kasneci. 2023 · 2023
Cited alongside, same era.
Large Language Models as Superpositions of Cultural Perspectives
Grgur Kovač, Masataka Sawayama, Rémy Portelas, Cédric Colas, Peter Ford Dominey, and Pierre-Yves Oudeyer. 2023 · 2023
Cited alongside, same era.
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Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, and Tushar Khot. 2024 · 2024
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OpenAI GPT-3.5 API [gpt-3.5-turbo-0125]
OpenAI. 2024 · 2024
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