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cs.AI2026
Think-Before-Speak: From Internal Evaluation to Public Expression in Multi-Agent Social Simulation
Kaiqi Yang, Tai-Quan Peng, Sanguk Lee +1
LLM-based multi-agent simulation offers a promising way to study social interaction, deliberation, and collective opinion dynamics. However, many existing dialogue simulation frame…
cs.AI2024★ 1 cited
Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations
Sanguk Lee, Kai-Qi Yang, Tai-Quan Peng +2
Large language models (LLMs) are employed to simulate human-like responses in social surveys, yet it remains unclear if they develop biases like social desirability response (SDR)…
cs.AI2023
Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias
S. Lee, T. Q. Peng, M. H. Goldberg +4
Large language models (LLMs) have demonstrated their potential in social science research by emulating human perceptions and behaviors, a concept referred to as algorithmic fidelit…