Assessing the Sociocultural Alignment of Large Language Models: An Empirical Study of Chinese-Speaking Populations

Author:

Warmsley Dana,Xu Jiejun,Johnson Samuel D.

Publisher

Springer Nature Switzerland

Reference12 articles.

1. AlKhamissi, B., ElNokrashy, M., AlKhamissi, M., Diab, M.: Investigating cultural alignment of large language models. arXiv preprint arXiv:2402.13231 (2024)

2. Haerpfer, C., Inglehart, R., Moreno, A., Welzel, C., et al.: World values survey: round seven–country-pooled datafile. JD Systems Institute, WVSA Secretariat, Madrid, Spain, Vienna, Austria (2020)

3. Ziems, C., Held, W., Shaikh, O., Chen, J., Zhang, Z., Yang, D.: Can Large Language Models Transform Computational Social Science? Computational Linguistics. MIT Press, Cambridge (2020)

4. Kovač, G., Sawayama, M., Portelas, R., Colas, C., Dominey, P.F., Oudeyer, P.-Y.: Large language models as superpositions of cultural perspectives. arXiv preprint arXiv:2307.07870 (2023)

5. Buttrick, N.: Studying large language models as compression algorithms for human culture. Trends Cogn. Sci. (2024)

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