AI RESEARCH
AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction
arXiv CS.LG
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ArXi:2305.09620v4 Announce Type: replace-cross Nationally representative surveys track public opinion, yet they ask only a limited set of questions each year, limiting its potential to capture historical changes. To fill this gap, we develop a large language model (LLM)-based framework for predicting missing responses in repeated cross-sectional surveys by incorporating embeddings for questions, respondents, and survey periods. We