3 papers
cs.CY2026
Validated Behavioral Hypotheses as a Lens for Evaluating Participant Simulation
Xuan Liu, HaoYang Shang, Zizhang Liu +5
We propose using validated behavioral hypotheses as a lens for evaluating LLM agents as simulated human participants. This approach makes behavioral agreement in participant simula…
cs.AI2026
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…
cs.AI2026
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…