2 citations · 3 across the 8 of their papers we have counts for
9 papers
HouseholdBench: Evaluating Large Language Models as Predictors of Household Economic Behavior
Jin Huang, Diego Ferreras Garrucho, Yutong Xie +4
Large language models (LLMs) have the potential to meet a key goal in economics: a quantitative model of household decision making, across a variety of settings. Yet existing evalu…
Modeling Human Behavior with Type Vectors Using AI
Matthew O. Jackson, Benjamin S. Manning, Yutong Xie +2
We introduce a general, easy-to-implement AI-based modeling technique for analyzing human behavior. A key feature of this approach, which contrasts with existing modeling technique…
BehaviorBench: Benchmarking Foundation Models for Behavioral Science Tasks
Jin Huang, Yutong Xie, Wanli Song +5
Foundation models have been increasingly applied to behavioral science domains such as psychology, sociology, and economics. While these models show promise in tasks such as survey…
AI Behavioral Science: A Framework and Agenda
Matthew O. Jackson, Qiaozhu Me, Stephanie W. Wang +16
We discuss the challenges and opportunities present in the rapidly emerging area of ``AI Behavioral Science.'' We frame it via three subfields. First, as AI becomes ubiquitous and…
Be.FM: Open Foundation Models for Human Behavior
Yutong Xie, Zhuoheng Li, Xiyuan Wang +10
Despite their success in numerous fields, the potential of foundation models for modeling and understanding human behavior remains largely unexplored. We introduce Be.FM, one of th…
Using Large Language Models to Categorize Strategic Situations and Decipher Motivations Behind Human Behaviors
Yutong Xie, Qiaozhu Mei, Walter Yuan +1
By varying prompts to a large language model, we can elicit the full range of human behaviors in a variety of different scenarios in classic economic games. By analyzing which prom…
How Different AI Chatbots Behave? Benchmarking Large Language Models in Behavioral Economics Games
Yutong Xie, Yiyao Liu, Zhuang Ma +5
The deployment of large language models (LLMs) in diverse applications requires a thorough understanding of their decision-making strategies and behavioral patterns. As a supplemen…
Content Quality vs. Attention Allocation: An LLM-Based Case Study in Peer-to-peer Mental Health Networks
Teng Ye, Hanson Yan, Xuhuan Huang +4
With the rise of social media and peer-to-peer networks, users increasingly rely on crowdsourced responses for information and assistance. However, the mechanisms used to rank and…
A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?
Qiaozhu Mei, Yutong Xie, Walter Yuan +1
We administer a Turing Test to AI Chatbots. We examine how Chatbots behave in a suite of classic behavioral games that are designed to elicit characteristics such as trust, fairnes…