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Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification
v1v2 (latest)

Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification

13 October 2025
Stefan Krsteski
Giuseppe Russo
Serina Chang
Robert West
Kristina Gligorić
    SyDa
ArXiv (abs)PDFHTML

Papers citing "Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification"

3 / 3 papers shown
Title
Can Finetuing LLMs on Small Human Samples Increase Heterogeneity, Alignment, and Belief-Action Coherence?
Can Finetuing LLMs on Small Human Samples Increase Heterogeneity, Alignment, and Belief-Action Coherence?
Steven Wang
Kyle Hunt
Shaojie Tang
Kenneth Joseph
ALM
44
0
0
26 Nov 2025
Efficient Inference Using Large Language Models with Limited Human Data: Fine-Tuning then Rectification
Efficient Inference Using Large Language Models with Limited Human Data: Fine-Tuning then Rectification
Lei Wang
Zikun Ye
Jinglong Zhao
ALM
64
0
0
23 Nov 2025
Rethinking LLM Human Simulation: When a Graph is What You Need
Rethinking LLM Human Simulation: When a Graph is What You Need
Joseph Suh
Suhong Moon
Serina Chang
AI4CE
61
0
0
03 Nov 2025
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