Human Behavior Simulation

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17 papers in the last four weeks, up 70% on the four weeks before. 0.2% of all new papers.

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Latest papers 173

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InterviewSim: A Scalable Framework for Interview-Grounded Personality Simulation
Feb 23, 2026Yu Li, Pranav Narayanan Venkit, Yada Pruksachatkun +1Personality Modeling in Language Models Human Behavior Simulation
Salesforce Research
Robo-Saber: Generating and Simulating Virtual Reality Players
Feb 20, 2026Nam Hee Kim, Jingjing May Liu, Jaakko Lehtinen +3Human Behavior Simulation Human Motion Generation
Aalto University, Finland · University of California, Berkeley, United States · NVIDIA +1
Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation
Feb 17, 2026Hua Yan, Heng Tan, Yingxue Zhang +1Human Behavior Simulation LLM Inference Acceleration
Lehigh University Bethlehem, USA · State University of New York at Binghamton Binghamton, USA
Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance
Feb 17, 2026Hua Yan, Heng Tan, Yu YangHuman Behavior Simulation Large Language Model-Based Social Simulation
Lehigh University · Bethlehem, USA
MyoInteract: A Framework for Fast Prototyping of Biomechanical HCI Tasks using Reinforcement Learning
Feb 16, 2026Ankit Bhattarai, Hannah Selder, Florian Fischer +2Reinforcement Learning Human Behavior Simulation
Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Leipzig University Leipzig, Germany
Stochastic Parrots or Singing in Harmony? Testing Five Leading LLMs for their Ability to Replicate a Human Survey with Synthetic Data
Feb 10, 2026Jason Miklian, Kristian Hoelscher, John E. KatsosHuman Behavior Simulation Synthetic Data Generation
University of Oslo · Peace Research Institute Oslo · American University of Sharjah
Large language models replicate and predict human cooperation across experiments in game theory
Nov 6, 2025Andrea Cera Palatsi, Samuel Martin-Gutierrez, Ana S. Cardenal +1LLM Evaluation Game Theory
Department for Computational Social Sciences and Humanities, Barcelona Supercomputing Center · Grupo de Sistemas Complejos, Universidad Polit´ecnica de Madrid · School of Law and Political Science, Universitat Oberta de Catalunya +1
Gravity-Awareness: Deep Learning Models and LLM Simulation of Human Awareness in Altered Gravity
Oct 29, 2025Bakytzhan Alibekov, Alina Gutoreva, Elisa Raffaella-FerreComputational Cognitive Modeling Human Behavior Simulation
School of IT & Engineering, Kazakh-British Technical University, 050000, Tole bi 59, Almaty, Kazakhstan. · School of Psychological Sciences, Birkbeck University of London, Malet St, London WC1E 7HX, United Kingdom.
HugAgent: A Human Simulation Benchmark for Individual-Level Reasoning
Oct 16, 2025Chance Jiajie Li, Zhenze Mo, Yuhan Tang +11Cognitive Modeling Human Behavior Simulation
1MIT Media Lab · 8Northeastern University · 5MIT CEE +7
People use fast and flat simulation to reason about new games
Oct 13, 2025Katherine M. Collins, Cedegao E. Zhang, Lionel Wong +6Computational Cognitive Modeling Human Behavior Simulation
Massachusetts Institute of Technology, Cambridge, MA, United States · Princeton University, Princeton, NJ, United States · University of Cambridge, Cambridge, United Kingdom +3
Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management
Sep 30, 2025Runze Zhang, Xiaowei Zhang, Mingyang ZhaoLLM Evaluation Human Behavior Simulation
Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
From the Fluency Fallacy to the Micro-to-Macro Validity Gap: Opportunities and Pitfalls of LLMs in Social Simulation
Jul 25, 2025Patrick Taillandier, Jean Daniel Zucker, Arnaud Grignard +4Human Behavior Simulation Computational Social Science
UR MIAT, University of Toulouse, INRAE, Castanet-Tolosan, France · UMI UMMISCO, IRD, Sorbonne University, Bondy, France · UMR IRIT, University Toulouse Capitole, Toulouse, France +2
LLM Bidders Preserve the Mechanism-Level Orderings of Human Bidders
Jul 12, 2025Anand Shah, Kehang Zhu, Yanchen Jiang +4LLM Evaluation Human Behavior Simulation
MIT & NBER
LLM-Based Social Simulations Require a Boundary
Jun 24, 2025Zengqing Wu, Run Peng, Takayuki Ito +2LLM Evaluation Human Behavior Simulation
University of Osaka · University of Michigan · Kyoto University +1
Modeling Earth-Scale Human-Like Societies with One Billion Agents
Jun 7, 2025Haoxiang Guan, Jiyan He, Liyang Fan +10Human Behavior Simulation Computational Social Science
University of Science and Technology of China, Hefei, China. · Zhongguancun Academy, Beijing, China. · Zhongguancun Institute of Artificial Intelligence, Beijing, China. +4
AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent Simulations
Apr 13, 2025Jenny Ma, Riya Sahni, Karthik Sreedhar +1Multi-Agent LLM Systems Human Behavior Simulation
Columbia University New York City, USA
LLM-based Human Simulations Have Not Yet Been Reliable
Jan 15, 2025Qian Wang, Jiaying Wu, Zichen Jiang +6Human Behavior Simulation
National University of Singapore · The Hong Kong University of Science and Technology · University of Chinese Academy of Sciences
LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
Nov 15, 2024Joon Sung Park, Carolyn Q. Zou, Jonne Kamphorst +8Personality Modeling in Language Models Human Behavior Simulation
1Computer Science Department, Stanford University; Stanford, CA, 94305, USA. · Department of Communication Studies, Northwestern University; Evanston, IL 60208, USA. · 7CDSP and CEE, Sciences Po; Paris, 75007, France. +4
When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments
Jul 15, 2024Chong Zhang, Xinyi Liu, Zhongmou Zhang +10Multi-Agent LLM Systems Human Behavior Simulation
University of Liverpool, UK · Peking University, China · Shanghai University of Finance and Economics, China +6
Simulation of Crowd Egress with Environmental Stressors
Jun 3, 2022Peng Wang, Xiaoda Wang, Peter Luh +4Pedestrian Behavior Modeling Human Behavior Simulation
Department of Electrical and Computer Engineering, University of Connecticut, Storrs
The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies
Date pendingJiaxu Zhou, Jen-tse Huang, Xuhui Zhou +5LLM Evaluation LLM Auditing
CUHK · JHU · CMU +3
UBCL: A Reinforcement Learning Framework for Controllable and Diverse Player Behaviors
Date pendingAtahan Cilan, Atay ÖzgövdeReinforcement Learning Human Behavior Simulation
Turkish Aerospace, Istanbul, Turkey · Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey
Evaluating LLM-Simulated Conversations in Modeling Inconsistent and Uncollaborative Behaviors in Human Social Interaction
Date pendingRyo Kamoi, Ameya Godbole, Binglin Zhou +5LLM Evaluation Human Behavior Simulation
Penn State University · University of Southern California · Microsoft Corporation

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InterviewSim: A Scalable Framework for Interview-Grounded Personality Simulation

Yu Li, Pranav Narayanan Venkit, Yada Pruksachatkun, Chien-Sheng Wu

Salesforce Research

Personality Modeling in Language Models Human Behavior Simulation Persona-Conditioned Generation

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Simulating real personalities with large language models requires grounding generation in authentic personal data. Existing evaluation approaches rely on demographic surveys, personality questionnaires, or short AI-led interviews as proxies, but lack direct assessment against what individuals actually said. We address this gap with an interview-grounded evaluation framework for personality simulation at a large scale. We extract over 671,000 question-answer pairs from 23,000 verified interview transcripts across 1,000 public personalities, each with an average of 11.5 hours of interview content. We propose a multi-dimensional evaluation framework with four complementary metrics measuring content similarity, factual consistency, personality alignment, and factual knowledge retention. Through systematic comparison, we find that interview grounding yields consistent gains in content alignment and exact-match factual recall over biographical profiles and parametric prompting. We further find complementary strengths: retrieval-augmented methods tend to preserve personality alignment, while larger chronological contexts generally reduce contradictions and improve factual recall. Our evaluation framework enables principled method selection based on application requirements, and our empirical findings provide actionable insights for advancing personality simulation research.

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Latest papers 173