The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents

arXiv:2311.09665v2 Announce Type: replace
Abstract: Human groups are able to converge on more accurate beliefs through deliberation, even in the presence of polarization and partisan bias -- a phenomenon known as the "wisdom of partisan crowds." Generated agents powered by Large Language Models (LLMs) are increasingly used to simulate human collective behavior, yet few benchmarks exist for evaluating their dynamics against the behavior of human groups. In this paper, we examine the extent to which the wisdom of partisan crowds …

abstract agents arxiv bias collective converge cs.cl generated human humans intelligence language language models large language large language models llm llms through type