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Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys
利用大语言模型低成本生成调查数据时，准确性因问题波动，本文研究如何最优分配固定的人类样本预算以提升估计效果。
arXiv:2604.17267v2 Announce Type: replace Abstract: Large Language Models can generate synthetic survey responses at low cost, but their accuracy vari…