3 citations · 3 across the 6 of their papers we have counts for
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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.AI2025
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…
cs.AI2025★ 3 cited
United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory
HaoYang Shang, Xuan Liu, Zi Liang +3
Large Language Models (LLMs) exhibit a notable performance ceiling on complex, multi-faceted tasks. As practitioners increasingly rely on heavy context engineering -- curating intr…