1 citations · 1 across the 7 of their papers we have counts for
4 papers · 1 filter
Exploring Causal Mechanisms with Generative Agent-Based Models
Xuan Liu, Haoyang Shang, Tanya Bhat +1
In this paper, we explore using generative agent-based models for a classical ABM application: testing how individual-level behavioral rules produce collective phenomena. We introd…
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…
Diagon: A Programmable Testbed for AI-Agent Cognitive Labor Markets
Xuan Liu, Haoyang Shang, Haojian Jin
AI agents are emerging as market participants that trade delegated cognitive work with one another on behalf of their users. Each agent can act as both a task poster and a contract…
Understanding Parents' Desires in Moderating Children's Interactions with GenAI Chatbots through LLM-Generated Probes
John Driscoll, Yulin Chen, Viki Shi +3
This paper studies how parents want to moderate children's interactions with Generative AI chatbots, with the goal of informing the design of future GenAI parental control tools. W…