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LLMs are increasingly powerful and widely used to assist users in a variety of tasks.
Language Models are Few-Shot Learners
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On measuring social biases in sentence encoders
May, C.; Wang, A.; Bordia, S.; Bowman, S. R.; and Rudinger, R. 2019 · 1903
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Measuring bias in contextualized word representations
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A New Measure of Rank Correlation
Kendall, M. G. 1938 · 1938
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Attitudes toward old people: an empirical analysis of the stimulus-group validity of the Tuckman-Lorge questionnaire
Axelrod, S.; and Eisdorfer, C. 1961 · 1961
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Personality stereotypes of aging
Aaronson, B. S. 1966 · 1966
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Likableness ratings of 555 personality-trait words
Anderson, N. H. 1968 · 1968
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Age-ism: Another form of bigotry
Butler, R. N. 1969 · 1969
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Age parameters of young adult, middle-aged, old, and aged
Cameron, P. 1969 · 1969
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What is beautiful is good
Dion, K.; Berscheid, E.; and Walster, E. 1972 · 1972
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What is good is beautiful
Gross, A. E.; and Crofton, C. 1977 · 1977
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Evidence for the automaticity of ageism
Perdue, C. W.; and Gurtman, M. B. 1990 · 1990
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Another look at the effects of appearance, gender, and job type on performance-based decisions
Drogosz, L. M.; and Levy, P. E. 1996 · 1996
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Gender and attractiveness biases in hiring decisions: Are more experienced managers less biased?
Marlowe, C. M.; Schneider, S. L.; and Nelson, C. E. 1996 · 1996
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The impact of country-of-origin cues on consumer perceptions of product quality: A binational test of the decomposed country-of-origin construct
Insch, G. S.; and McBride, J. B. 2004 · 2004
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StereoSet: Measuring stereotypical bias in pretrained language models
Nadeem, M.; Bethke, A.; and Reddy, S. 2020 · 2004
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Personality trait inferences about organizations: development of a measure and assessment of construct validity
Slaughter, J. E.; Zickar, M. J.; Highhouse, S.; and Mohr, D. C. 2004 · 2004
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Employers, quality and standards in higher education: Shared values and vocabularies or elitism and inequalities?
Morley, L.; and Aynsley, S. 2007 · 2007
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Personality trait inferences about organizations and organizational attraction: An organizational-level analysis based on a multi-cultural sample
Facial attractiveness, weight status, and personality trait attribution: The role of attractiveness in weight stigma
Cross, N.; Kiefner-Burmeister, A.; Rossi, J.; Borushok, J.; Hinman, N.; Burmeister, J.; and Carels, R. A. 2017 · 2017
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Personality and field of study choice in university
Humburg, M. 2017 · 2017
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Brand personality in higher education: anthropomorphized university marketing communications
Rutter, R.; Lettice, F.; and Nadeau, J. 2017 · 2017
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A Taxonomy of Police Technology’s Racial Inequity Problems
Moy, L. 2019 · 2019
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Elitism in Strategy Consulting: How Institutional Prestige Influences Recruitment
Mavridopoulou, I.; and O’Mahoney, J. 2020 · 2020
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Nationality and gender biases in multicultural online learning environments: The effects of anonymity
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Anderson, M. H.; Haar, J.; and Gibb, J. 2010 · 2010
Cited alongside, same era.
CrowS-pairs: A challenge dataset for measuring social biases in masked language models
Nangia, N.; Vania, C.; Bhalerao, R.; and Bowman, S. R. 2020 · 2010
Cited alongside, same era.
Enhanced female attractiveness with use of cosmetics and male tipping behavior in restaurants
Guéguen, N.; and Jacob, C. 2011 · 2011
Cited alongside, same era.
Physical attractiveness bias in employee termination
Commisso, M.; and Finkelstein, L. 2012 · 2012
Cited alongside, same era.
Evaluating six common stereotypes about older workers with meta-analytical data
Ng, T. W.; and Feldman, D. C. 2012 · 2012
Cited alongside, same era.
Blaming the victim: The effects of extraversion and information disclosure on guilt attributions in cyberbullying
Weber, M.; Ziegele, M.; and Schnauber, A. 2013 · 2013
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“As rare as a panda”: How facial attractiveness, gender, and occupation affect interview callbacks at Chinese firms
Maurer-Fazio, M.; and Lei, L. 2015 · 2015
Cited alongside, same era.
Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Bolukbasi, T.; Chang, K.-W.; Zou, J. Y.; Saligrama, V.; and Kalai, A. T. 2016 · 2016
Cited alongside, same era.
Morales-Martinez, G.; Latreille, P.; and Denny, P. 2020 · 2020
Later among the works it cites.
StereoSet: Measuring stereotypical bias in pretrained language models
Nadeem, M.; Bethke, A.; and Reddy, S. 2021 · 2021
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Nationality biases in peer evaluations: The country-of-origin effect in global virtual teams
Tavoletti, E.; Stephens, R. D.; Taras, V.; and Dong, L. 2022 · 2022
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SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models
Jha, A.; Davani, A.; Reddy, C. K.; Dave, S.; Prabhakaran, V.; and Dev, S. 2023 · 2023
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OpenAI. 2023 · 2023
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Cognitive colonialism: Nationality bias in Brazilian academic philosophy
Seabra, M. R.; Prendergast, L.; de Andrade Antunes, G. S.; and Tolton, L. 2023 · 2023
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Llama 2: Open Foundation and Fine-Tuned Chat Models
Touvron, H.; Martin, L.; Stone, K.; Albert, P.; Almahairi, A.; Babaei, Y.; Bashlykov, N.; Batra, S.; Bhargava, P.; Bhosale, S.; Bikel, D.; Blecher, L.; Ferrer, C. C.; Chen, M.; Cucurull, G.; Esiobu, D.; Fernandes, J.; Fu, J.; Fu, W.; Fuller, B.; Gao, C.; Goswami, V.; Goyal, N.; Hartshorn, A.; Hosseini, S.; Hou, R.; Inan, H.; Kardas, M.; Kerkez, V.; Khabsa, M.; Kloumann, I.; Korenev, A.; Koura, P. S.; Lachaux, M.-A.; Lavril, T.; Lee, J.; Liskovich, D.; Lu, Y.; Mao, Y.; Martinet, X.; Mihaylov, T.; Mishra, P.; Molybog, I.; Nie, Y.; Poulton, A.; Reizenstein, J.; Rungta, R.; Saladi, K.; Schelten, A.; Silva, R.; Smith, E. M.; Subramanian, R.; Tan, X. E.; Tang, B.; Taylor, R.; Williams, A.; Kuan, J. X.; Xu, P.; Yan, Z.; Zarov, I.; Zhang, Y.; Fan, A.; Kambadur, M.; Narang, S.; Rodriguez, A.; Stojnic, R.; Edunov, S.; and Scialom, T. 2023 · 2023
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Nationality Bias in Text Generation
Venkit, P. N.; Gautam, S.; Panchanadikar, R.; Wilson, S.; et al. 2023 · 2023
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