Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions (2025.acl-long)
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| Challenge: | Prior studies have failed to accurately predict distribution of survey responses from human subjects. |
| Approach: | They propose to fine-tune large language models to predict human response distributions by leveraging unique structural characteristics of survey data. |
| Outcome: | The proposed model can capture group-specific variability in public opinions, generalizing to unseen subpopulations, survey waves and question topics, and different survey families. |
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