Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2022
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| _version_ | 1866912556699877376 |
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| author | Arora, Arnav Kaffee, Lucie-Aimée Augenstein, Isabelle |
| author_facet | Arora, Arnav Kaffee, Lucie-Aimée Augenstein, Isabelle |
| contents | Language embeds information about social, cultural, and political values people hold. Prior work has explored social and potentially harmful biases encoded in Pre-Trained Language models (PTLMs). However, there has been no systematic study investigating how values embedded in these models vary across cultures. In this paper, we introduce probes to study which values across cultures are embedded in these models, and whether they align with existing theories and cross-cultural value surveys. We find that PTLMs capture differences in values across cultures, but those only weakly align with established value surveys. We discuss implications of using mis-aligned models in cross-cultural settings, as well as ways of aligning PTLMs with value surveys. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2203_13722 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Probing Pre-Trained Language Models for Cross-Cultural Differences in Values Arora, Arnav Kaffee, Lucie-Aimée Augenstein, Isabelle Computation and Language Language embeds information about social, cultural, and political values people hold. Prior work has explored social and potentially harmful biases encoded in Pre-Trained Language models (PTLMs). However, there has been no systematic study investigating how values embedded in these models vary across cultures. In this paper, we introduce probes to study which values across cultures are embedded in these models, and whether they align with existing theories and cross-cultural value surveys. We find that PTLMs capture differences in values across cultures, but those only weakly align with established value surveys. We discuss implications of using mis-aligned models in cross-cultural settings, as well as ways of aligning PTLMs with value surveys. |
| title | Probing Pre-Trained Language Models for Cross-Cultural Differences in Values |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2203.13722 |