Synthetic Population Generation

Latest papers

18 papers3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

MetaPersona: Task-Grounded Synthetic Populations from Empirical Social Science
Sep 29, 2026Jinyi Ye, Yuangang Li, Chenxiao Yu +7Personality Modeling in Language Models Synthetic Data Generation
University of Southern California · University of California, Irvine · 2077AI +1
Artificial Societies Benchmark: A Validation Framework for Synthetic Research
Sep 24, 2026Edoardo Chidichimo, Min Jun Jung, Felix P. S. Wallis +1Benchmark Design Computational Social Science
Artificial Societies University of Oxford, UK
KITE: Scaling Jev Population Experiments with Sparse Flagship Calibration
Sep 23, 2026Hengyu LiCausal Effect Estimation Uncertainty Quantification
The University of Tokyo
The average-farmer illusion in language-model simulations of agricultural decisions
Sep 14, 2026Zhanliang Zhu, Ziwei Li, Yuchen Liu +5Synthetic Data Generation Synthetic Population Generation
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
Feasible and Novel Synthetic Population Generation with Tabular and Sequential Travel Attributes
Aug 16, 2026Farbod Abbasi, Zachary Patterson, Bilal FarooqSynthetic Population Generation Synthetic Data Generation
Concordia University, Montreal, Quebec, Canada · Toronto Metropolitan University, Toronto, Ontario, Canada
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
Trustworthy synthetic data for campaign decision support: strategy simulation fidelity and the PolicySynth framework
Jul 13, 2026Tung Dang, The Hung Phung, Son Lam Nguyen +1AI-Assisted Decision Making Synthetic Data Generation
aGraduate School of Science, The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-0033, Japan · bFaculty of Human Resource Management, Trade Union University, 169 Tay Son, Kim Lien, Hanoi, Vietnam · cInstitute for Business Management Development, Academy Of Finance, 58 Le Van Hien Street, Dong Ngac Ward, Hanoi, Vietnam +1
Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population
Jul 1, 2026Mirko Degli EspostiHuman Behavior Simulation Synthetic Data Generation
Department of Physics and Astronomy, University of Bologna
A Filtered Mixture-of-Generators for Fully Synthetic Survival Training
Jun 30, 2026Niccolò Maria Rizzi, Eugenio Lomurno, Alberto Archetti +1Survival Analysis Synthetic Data Generation
Politecnico di Milano, Milan, Italy
GenWorld: Empirically Grounded Urban Simulation Infrastructure for Scalable LLM-Agent Studies
Jun 26, 2026Gen Li, Jieyuan Lan, Pengcheng Xu +3Human Behavior Simulation Synthetic Data Generation
Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima, Japan · Jiangxi Polytechnic University, Jiangxi, China · College of Urban Development and Modern Transportation, Xi’an University of Architecture and Technology, Xi’an, China +1
ProfileFoundry: A Synthetic Person-Object Substrate for Privacy, Memory, and Tool-Use Evaluation in LLM Agent
Jun 24, 2026Sriram Selvam, Anneswa GhoshSynthetic Data Generation Synthetic Benchmark Generation
Conditional Latent Diffusion Model with Fourier-based Motion Modelling for Virtual Population Synthesis
Jun 2, 2026Shaokun Lan, Haoran Dou, Jinghan Huang +53D Mesh Generation Synthetic Population Generation
Centre for Computational Imaging and Modelling in Medicine (CIMIM), University of Manchester, Manchester, UK
Using Zero-Shot LLM-Generated Survey Data for Geographically Explicit Population Synthesis
Apr 23, 2026Taylor Anderson, Sara Von Hoene, Orhan Yagizer Cinar +4Synthetic Data Generation Synthetic Population Generation
Dept. of Geography and Geoinformation Science, George Mason University, Fairfax, VA, USA · Dept. of Computer Science, George Mason University, Fairfax, VA, USA · College of Public Health, George Mason University, Fairfax, VA, USA +2
Prior-Fitted Functional Flow: In-Context Generative Models for Pharmacokinetics
Apr 19, 2026César Ojeda, Niklas Hartung, Wilhelm Huisinga +6Probabilistic Time Series Forecasting Healthcare
University of Potsdam, Germany · Technical University Berlin, Germany · Freie Universität Berlin, Germany +2
Validated Synthetic Patient Generation for Small Longitudinal Cohorts: Coagulation Dynamics Across Pregnancy
Apr 8, 2026Jeffrey D. Varner, Maria Cristina Bravo, Carole McBride +2Synthetic Data Generation Synthetic Tabular Data Generation
Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850 · Department of Biochemistry, The Robert Larner, M.D. College of Medicine, University of Vermont Medical Center, Burlington, VT 05401 · Department of Obstetrics, Gynecology, and Reproductive Sciences, The Robert Larner, M.D. College of Medicine, University of Vermont Medical Center, Burlington, VT 05401
Scalable Maximum Entropy Population Synthesis via Persistent Contrastive Divergence
Mar 28, 2026Mirko Degli EspostiSynthetic Population Generation Synthetic Data Generation
Department of Physics and Astronomy, City Science Lab University of Bologna, Bologna, Italy
Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation
Mar 23, 2026François Pachet, Jean-Daniel ZuckerSynthetic Population Generation Synthetic Data Generation
ImagineAllThePeople, Paris, France · IRD, UMMISCO, Sorbonne Universit´e, France
Enhancing Diversity and Feasibility: Joint Population Synthesis from Multi-source Data Using Generative Models
Feb 17, 2026Farbod Abbasi, Zachary Patterson, Bilal FarooqSynthetic Population Generation Data Fusion
Concordia University, Montreal, QC, Canada · Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC, Canada · Toronto Metropolitan University, Toronto, ON, Canada

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MetaPersona: Task-Grounded Synthetic Populations from Empirical Social Science

Jinyi Ye, Yuangang Li, Chenxiao Yu, Preyashi Poddar+6

University of Southern California · University of California, Irvine · 2077AI+1

Personality Modeling in Language Models Synthetic Data Generation Computational Social Science Synthetic Population Generation Large Language Model-Based Social Simulation

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Personas used to seed LLM social simulations face a cold-start problem: existing methods lack a principled basis for deciding which attributes to include and how to assign their values. As a result, synthetic populations may misrepresent the demographic composition, latent attributes, and dependency structure that shape downstream behavior. We introduce MetaPersona-DB, a dataset of 11,000+ empirical human-subjects studies annotated with task-relevant variables, reported relationships, and aggregate-level population statistics. Building on this resource, we propose MetaPersona, a framework that retrieves task-relevant evidence, constructs literature-derived persona dependency graphs, and samples synthetic populations from empirical priors linking demographics, latent attributes, and outcomes. Across three downstream case studies, three baselines, and three frontier models, results vary by task and model: MetaPersona performs strongly on misinformation belief and AI-tool sentiment, while results on income redistribution are mixed. It also reduces persona-construction cost to under $0.5 per task using GPT-5.2. Finally, we present MetaPersona-Studio, a prototype interactive interface for empirically grounded persona generation.