RVBench: Role values benchmark for role-playing LLMs

RVBench: Role values benchmark for role-playing LLMs

With the explosive development of Large Language Models (LLMs), the demand for role-playing agents has greatly increased to promote applications such as personalized digital companion and artificial society simulation. In LLM-driven role-playing, the values of agents lay the foundation for their att...

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Bibliographic Details
Main Authors: Ye Wang, Tong Li, Meixuan Li, Ziyue Cheng, Ge Wang, Hanyue Kang, Yaling Deng, Hongjiang Xiao, Yuan Zhang
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Computers in Human Behavior: Artificial Humans
Subjects:
LLMs
Role-playing agent
Values
RVD
RVBench
Online Access:http://www.sciencedirect.com/science/article/pii/S2949882125000684
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