Author:
Gerosa Marco,Trinkenreich Bianca,Steinmacher Igor,Sarma Anita
Publisher
Springer Science and Business Media LLC
Reference30 articles.
1. Aher, G.V., Arriaga, R.I., Kalai, A.T.: Using large language models to simulate multiple humans and replicate human subject studies. In: International Conference on Machine Learning, pp. 337–371. PMLR (2023)
2. Argyle, L.P., Busby, E.C., Fulda, N., Gubler, J.R., Rytting, C., Wingate, D.: Out of one, many: using language models to simulate human samples. Polit. Anal. 31(3), 337–351 (2023)
3. Biber, D.: Text-linguistic approaches to register variation. Regist. Stud. 1(1), 42–75 (2019)
4. Burnett, M., Stumpf, S., Macbeth, J., Makri, S., Beckwith, L., Kwan, I., Peters, A., Jernigan, W.: Gendermag: a method for evaluating software’s gender inclusiveness. Interact. Comput. 28(6), 760–787 (2016)
5. Chaves, A.P., Egbert, J., Hocking, T., Doerry, E., Gerosa, M.A.: Chatbots language design: the influence of language variation on user experience with tourist assistant chatbots. ACM Trans. Comput. Hum. Interact. 29(2), 1–38 (2022)
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