Papers with survey designs

1 papers
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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