4 papers
PrivacyReasoner: Can LLM Emulate a Human-like Privacy Mind?
Yiwen Tu, Xuan Liu, Lianhui Qin +1
Prior work on LLM-based privacy focuses on norm judgment over synthetic vignettes, rather than how people think about a specific data practice and formulate their opinions. We addr…
HumanStudy-Bench: Towards AI Agent Design for Participant Simulation
Xuan Liu, Haoyang Shang, Zizhang Liu +4
Large language models (LLMs) are increasingly used as simulated participants in social science experiments, but their behavior is often unstable and highly sensitive to design choi…
CoBRA: Programming Cognitive Bias in Social Agents Using Classic Social Science Experiments
Xuan Liu, Haoyang Shang, Haojian Jin
This paper introduces CoBRA, a novel toolkit for systematically specifying agent behavior in LLM-based social simulation. We found that conventional approaches that specify agent b…
Integrating LLM and Diffusion-Based Agents for Social Simulation
Xinyi Li, Zhiqiang Guo, Qinglang Guo +3
Agent-based social simulation provides a valuable methodology for predicting social information diffusion, yet existing approaches face two primary limitations. Traditional agent m…