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SCBO: Semantically Coherent Batching and Ordering for LLM-Based Social Surveys
Large Language Models (LLMs) offer a scalable way to simulate survey respondents using demographic profiles and observed reference responses. However, the conventional approach of predicting one question per prompt repeatedly encodes the same context, limits each target to a narrow set of reference
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