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Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf Game
April 3, 2024, 4:46 a.m. | Silin Du, Xiaowei Zhang
cs.CL updates on arXiv.org arxiv.org
Abstract: Large language models (LLMs) have exhibited memorable strategic behaviors in social deductive games. However, the significance of opinion leadership exhibited by LLM-based agents has been overlooked, which is crucial for practical applications in multi-agent and human-AI interaction settings. Opinion leaders are individuals who have a noticeable impact on the beliefs and behaviors of others within a social group. In this work, we employ the Werewolf game as a simulation platform to assess the opinion leadership …
abstract agent agents applications arxiv cs.ai cs.cl cs.hc game games however human language language models large language large language models leadership llm llms multi-agent opinion practical significance social type
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