Fine-tuning LLMs on small pilot survey data balances structural, marginal, and individual fidelity better than prompting or rectification, but fidelity levels vary across subsamples in a COVID-19 misinformation case study.
Mitigating social de- sirability bias in random silicon sampling.arXiv preprint arXiv:2512.22725,
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Beyond the Mean: Three-Axis Fidelity for Aligning LLM-Based Survey Simulators from Small Pilot Data
Fine-tuning LLMs on small pilot survey data balances structural, marginal, and individual fidelity better than prompting or rectification, but fidelity levels vary across subsamples in a COVID-19 misinformation case study.