Large Language Model-Based Social Simulation

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32 papers in the last four weeks, up 433% on the four weeks before. 0.3% of all new papers.

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Tipping Points in LLM-Based Multi-Agent Systems: Stance on Climate Change Action
Sep 21, 2026Astghik Altunyan, Shimon EdelmanOpinion Dynamics Agent-Based Modeling
Department of Psychology Cornell University Ithaca, NY 14853
SocioVerse2: A Longitudinal Dynamic Social Simulation Framework under a Human-AI Co-evolutionary Paradigm
Sep 21, 2026Xinnong Zhang, Jiayu Lin, Jia Wang +19Computational Social Science Agent-Based Modeling
Shanghai Innovation Institute · Fudan University · Tongji University +7
Mind or Message? Auditing Theory of Mind in Multi-Agent Social Simulation
Sep 21, 2026Cong Li, Cheng Chen, Thomas Fung +2Theory of Mind LLM Agent Evaluation
DailyAdvance
Bayesian Belief Layer for Controllable Opinion Dynamics in LLM Agents
Sep 18, 2026Hafsa Akbar, Daniel Platnick, Marjan Alirezaie +2Opinion Dynamics Belief Updating in LLMs
MIT Media Lab, Massachusetts Institute of Technology · Flybits Labs, Creative AI Hub · Toronto Metropolitan University
Digital Twins for Opinion Dynamics: A Generative LLM Framework for Social Networks
Sep 17, 2026Omran Berjawi, Giuseppe Fenza, Rida Khatoun +1Opinion Dynamics Human Behavior Simulation
Information Processing and Communication Laboratory (LTCI) Institut Polytechnique de Paris, T´el´ecom Paris Palaiseau, France · Management & Information Systems (DISA-MIS) University of Salerno Fisciano, Italy · College of Communication and Information, University of Kentucky +1
Verifiable Social Reasoning for LLM Assistants
Sep 15, 2026Amir Taubenfeld, Zorik Gekhman, Avigail Grinstein-Dabush +6Multi-Agent LLM Systems Theory of Mind
Google Research · Hebrew University · University of Cambridge
Interpreting and Steering LLM Agents for Social Simulations
Sep 14, 2026Jiayue Gaveal Fan, Arul Murugan, Shreyas Krishnan +1LLM Interpretability Human Behavior Simulation
1Data Innovation and AI Lab (DIAL), University of California, Berkeley · 2National Bureau of Economic Research (NBER)
The average-farmer illusion in language-model simulations of agricultural decisions
Sep 14, 2026Zhanliang Zhu, Ziwei Li, Yuchen Liu +5Synthetic Data Generation LLM Agents
1State Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China · 2Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, China · 3Meta Platforms Inc. +2
Diverse Minds, Divided Networks? Personality Composition, Polarization, and Collective Intelligence in LLM-Based Social Simulations
Sep 14, 2026Raad Bin TareafOpinion Dynamics Human Behavior Simulation
German University of Digital Science, Potsdam, Germany.
From Simulated Citizens to Simulated Deliberation: Challenges in Representation and Interaction
Sep 7, 2026Chaemin Jang, Junsik Min, Jaewoo Choi +9Opinion Dynamics Human Behavior Simulation
1Korea Advanced Institute of Science and Technology (KAIST) · 2Seoul National University
Classic AI Scaffolding for LLM Social Agents
Sep 1, 2026Anatole GershmanCognitive Architectures for AI Agents Human Behavior Simulation
Carnegie Mellon University (retired)
LiveSim: Simulating Environment-Shaped Users in Multi-Agent Live-Stream Ecosystems
Aug 27, 2026Jiaqi Xu, Yiran Qiao, Jing Chen +3Multi-Agent LLM Systems Human Behavior Simulation
University of Chinese Academy of Sciences, Beijing 100049, China · ByteDance China
Mitigating Identity Essentialism in LLM Agents with Longitudinal Life Trajectories
Aug 20, 2026Hexi Wang, Yujia Zhou, Bangde Du +7Human Behavior Simulation LLM Agent Memory
Department of Computer Science and Technology, Tsinghua University · Quan Cheng Laboratory
One Frozen Simulator Is Not Enough: Simulator Collapse in Multi-Agent RL
Aug 12, 2026Simon Yu, Nicholas Tomlin, Marwa Abdulhai +7Multi-Agent LLM Systems Human Behavior Simulation
1Northeastern University · 2New York University · 3UC Berkeley +2
CARD: Controlled Agentic Reddit Discussions for Credit Card Simulation
Aug 10, 2026Yaoning Yu, Kai-Min Chang, Ye Yu +3Financial Services Controllable Text Generation
University of Illinois Urbana-Champaign United States · U.S. Bank United States · Stanford University United States +1
Social Gym and SPaRTan: Benchmarking and Improving LLM Social Reasoning via Multi-Agent Game Tournaments
Aug 10, 2026Keyu He, Xuhui Zhou, Maarten SapGame-Playing Agents LLM Agent Evaluation
Carnegie Mellon University
Mind the Gaps: Mixture-of-Minds for Human Simulation
Aug 6, 2026Pranav DahiyaMixture-of-Experts Language Models Human Behavior Simulation
Semilattice
Emulate or Estimate? The Divergent Strengths of Base and Post-Trained Language Models for Opinion Simulation
Aug 4, 2026Seth Grief-Albert, Jessica Bo, Difan Jiao +1Large Language Model-Based Social Simulation Language Model Post-Training
Queen’s University · University of Toronto
Everyone Conforms, No One Believes: Pluralistic Ignorance in LLM Agent Populations
Aug 3, 2026Yashwanth YSMulti-Agent LLM Systems Normative Conformity in Language Models
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, USA
Modeling Social Dynamics with an LLM-Enabled Agent Based Network-Dynamic (LAND) Model
Aug 2, 2026Lynnette Hui Xian Ng, Kathleen M. CarleyHuman Behavior Simulation Computational Social Science
Carnegie Mellon University, Pittsburgh, USA
LLMs struggle to simulate human belief updates in controlled environments
Jul 30, 2026Sebastian Pohl, Harsh Mehta, Pranav Mambayil +4Human Behavior Simulation LLM Reliability
IT:U, Interdisciplinary Transformation University Austria, Altenberger Straße 66c, 4040 Linz, Austria
Belief Coevolution in a Social Network of Generalist and Specialist Large Language Models
Jul 29, 2026Germans Savcisens, Samantha Dies, Courtney Maynard +1Multi-Agent LLM Systems Agent-Based Modeling
Khoury College of Computer Sciences, Northeastern University, Boston, USA · Network Science Institute, Northeastern University, Boston, USA · Santa Fe Institute, Santa Fe, USA
When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses
Jul 28, 2026Zihan Chen, Di Zhu, Lei Nico ZhengLLM Evaluation Large Language Model-Based Social Simulation
Stevens Institute of Technology Hoboken, NJ, USA · University of Massachusetts Boston Boston, MA, USA
Reason-Mediated Behavioral Models for Auditing LLM Social Simulators
Jul 27, 2026Atharva Pandey, Gautam JajooLLM Auditing Human Behavior Simulation
Kairosity
Empirical Grounding Improves the Realism of LLM Agents Simulating Human Behavior During Disruptions
Jul 19, 2026Chen Xia, Zexi Kuang, Yuqing HuLLM Grounding Human Behavior Simulation
Department of Civil Engineering Technology, Environmental Management and Safety, Rochester Institute of Technology, Rochester, NY 14623, United States of America · Khoury College of Computer Sciences, Northeastern University, Boston, MA, United States of America · Digital and Interdependent Built Environment Laboratory, Department of Architectural Engineering, The Pennsylvania State University, University Park, PA, United States of America
Poor Man's Agentic Modeling: Simulating Large LLM-Agent Societies on a Laptop
Jul 19, 2026Igor ItkinMulti-Agent LLM Systems Surrogate Modeling
Independent Researcher, Tel Aviv, Israel
Distribution-First Population Simulation: Collapse, Calibration, and Recall in Non-WEIRD LLM Persona Modeling
Jul 17, 2026Gurkan OzkanHuman Behavior Simulation Large Language Model-Based Social Simulation
Istanbul Technical University
Step-Level Preference Learning for Generative Agents in Social Simulations
Jul 16, 2026Wenchang Gao, Pingyue Sheng, Lanlan Qiu +7Human Preference Modeling Human Behavior Simulation
Shanghai Qi Zhi Institute · Tsinghua University · Xiongan AI Institute +3
Social Simulations: from Agent-Based Modeling to Digital Twins
Jul 15, 2026Erica Cau, Andrea Failla, Valentina Pansanella +1Human Behavior Simulation Agent-Based Modeling
Department of Computer Science, University of Pisa · ISTI-CNR
CityBehavEx: A Scalable and Empirically Validated LLM-Assisted Urban Simulation Platform
Jul 13, 2026Gustavo H. Santos, Aline Viana, Thiago H SilvaHuman Behavior Simulation Agent-Based Modeling
UTFPR, Brazil · Inria, France · University of Toronto, Canada

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Tipping Points in LLM-Based Multi-Agent Systems: Stance on Climate Change Action

Astghik Altunyan, Shimon Edelman

Department of Psychology Cornell University Ithaca, NY 14853

Opinion Dynamics Agent-Based Modeling Large Language Model-Based Social Simulation Emergent Behavior in Multi-Agent Systems

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Because significant action to counter global warming requires massive public support, it is important to understand the dynamics of public opinion on climate issues. Of special interest are social tipping points, as revealed by large-scale effects of small perturbations in individual behaviors. Agent-based models (ABM) are an effective computational tool for studying these matters, because they allow controlled and systematic exploration of the effects of interventions that may be infeasible in real-world social systems. Large language models (LLMs) have been used to endow model agents with the ability to communicate in natural language (rather than by exchanging predefined messages), as well as with personality (in the form of a narrative self and episodic memory). We leverage LLM-powered ABM to look for tipping points in the social dynamics of a micro-society in which some of the discussions are about climate change. Our agents' stance was defined by two variables: the strength of conviction about the urgency of climate action and the degree of trust in existing institutions. We quantified shifts in agents' "beliefs" by monitoring, across multiple rounds of conversations, (1) inter-agent distances in this two-dimensional stance space and (2) the patterns of discussion topics as modeled by Latent Dirichlet Allocation (LDA). Our findings to date suggest that significant abrupt changes in climate-change stance do occur in this simple model. We report a number of methodological lessons from this study, notably, the need to prevent LLM biases from interfering with the conversational dynamics and, more generally, to maintain agent personality and episodic memories of interactions in the face of such biases. Resolving these issues may allow for using ABM-derived insights in designing real-life interventions vis-a-vis climate change and other important societal challenges.

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