Workshop on LLM Agents for Social Simulation
November 14, 2025
Seoul, Korea
The 1st Workshop on LLM Agents for Social Simulation
Social simulation has long played a crucial role in exploring the mechanisms underlying human behavior and societal structures.
Traditional social simulation relies on rule-based or statistical models, which makes it difficult to capture the complexity and variability of the real world.
With the emergence and rapid development of large language model (LLM), new frontiers have been opened toward leveraging LLMs as agent to model human behavior and interactions.
This cutting-edge direction has gained significant attention and demonstrated promising results, not only advancing research across a wide range of social science disciplines, but also enabling practical applications in role-playing scenarios.
However, this field still faces multiple challenges, such as capturing real-world social phenomena, eliminating bias or ethical considerations, and ensuring usability and reliability.
This workshop on LLM Agent for Social Simulation aims to bring together researchers and practitioners from diverse backgrounds to foster interdisciplinary collaboration, address key challenges, explore cutting-edge technologies, and chart promising future directions in this rapidly evolving field.
Important Dates
- Submission Open
- 25 July, 2025
- Submission Deadline
- 31 August, 2025
- Paper Acceptance Notification
- 30 September, 2025
- Camera-Ready Submission
- 01 November, 2025
Organizers
- Yige Yuan — State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences
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- Junkai Zhou — State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences
- Bingbing Xu — State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences
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- Liang Pang — State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences
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- Du Su — State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences
- An Zhang — School of Information Science and Technology, University of Science and Technology of China
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- Teng Xiao — Allen Institute for AI & University of Washington
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- Fengli Xu — Tsinghua University
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- Zhaochun Ren — Leiden University
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- Xu Chen — Renmin University of China
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