In order for AI systems to communicate effectively with people, they must understand how we
make decisions. However, people's decisions are not always rational, so the implicit internal …

Creating human-like large language model (LLM) agents is crucial for faithful social
simulation. Having LLMs role-play based on demographic information sometimes improves …

The success of Large Language Models (LLMs) in multicultural environments hinges on
their ability to understand users' diverse cultural backgrounds. We measure this capability by …

This survey examines the transformative impact of Large Language Models (LLMs) and AI-
driven systems across three critical and interconnected business domains: Finance …

The recent wave of artificial intelligence, epitomized by large language models (LLMs), has
presented opportunities and challenges for methodological innovation in political science …

Synthetic Data is not new, but recent advances in Generative AI have raised interest in
expanding the research toolbox, creating new opportunities and risks. This article provides a …

In recent research, large language models (LLMs) have been increasingly used to
investigate public opinions. This study investigates the algorithmic fidelity of LLMs, ie, the …

Increasingly, large language models (LLMs) are being used to automate workplace
processes requiring a high degree of creativity. While much prior work has examined the …

As advanced artificial intelligence (AI) technologies are developed and deployed, core
zones of information and knowledge that support democratic life will be mediated more …

This study is the first to explore whether multi-modal large language models (LLMs) can
align their behaviors with visual personas, addressing a significant gap in the literature that …