Xie et al.’s work, Can Large Language Model Agents Simulate Human Trust Behaviors?, scrutinizes whether LLM agents can echo human trust attributes.

• Investigates the agent’s trust behavior within the Trust Games framework.
• Finds significant alignment between LLM agent trust behaviors and those of humans.
• Studies biases and intrinsic properties of agent trust, including reasoning strategies and external manipulations.
• The findings could inform scenarios where trust modeling is paramount.

The paper contributes invaluable insights into the plausibility of using LLM agents to model human behavior, particularly in complex interpersonal dynamics.