Synthetic Data Generation

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43 papers in the last four weeks, up 59% on the four weeks before. 0.4% of all new papers.

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  1. Evaluating Sequence Assembly Strategies for Differentially Private Synthetic Time-Series Forecasting

    Oct 7, 2026Guoxiong Long, Huizhen Huang, Qikun Cai +2Synthetic Data EvaluationSynthetic Data Generation

    School of Computer and Big Data, Minjiang University, No. 200 Xiyuangong Road, Fuzhou, 350108, Fujian, China

  2. Concentration, Not Uncertainty: Why Targeted Synthetic Data Doesn't Help Camouflaged Object Detection

    Oct 7, 2026Akshat Dobhal, Sanjay SinghSynthetic Data SelectionSynthetic Data Generation

    Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

  3. What Makes Synthetic Hard Negatives Work in Vision-Language Pretraining?

    Oct 7, 2026Nikos Giakoumoglou, Paschalis Giakoumoglou, Andreas Floros +2Vision-Language PretrainingContrastive Learning

    Imperial College London, London, UK · Centre for Research and Technology Hellas, Thessaloniki, Greece

  4. DrugTargetWorld: A Synthetic Biobank for Training and Benchmarking AI Scientists

    Oct 7, 2026Samuel Margolis, Paul Schmiedmayer, Alan Huang +12Drug DiscoveryAI Agent Benchmarks

    Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA · Department of Medicine, Stanford University, Stanford, CA 94305, USA · Division of Computational Medicine, Department of Medicine, Stanford University, Stanford, CA 94305, USA +1

  5. Stability and Diversity of Networked Self-Consuming Generative Ecosystems

    Oct 7, 2026Xiukun Wei, Yang Zhang, Xueru ZhangGenerative ModelingNeural Network Training Dynamics

    The Ohio State University

  6. FaceKit: a Toolkit for Interpretable Facial Phenotyping, Synthetic Image Generation and Privacy Analysis in Rare Diseases

    Oct 7, 2026Hongzhuo Chen, Zhanliang Wang, Florent Pollet +9Rare Disease DiagnosisSynthetic Data Evaluation

    Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA · Applied Mathematics and Computational Science Graduate Program, University of Pennsylvania, Philadelphia, PA, USA · Department of Biomedical Informatics, Columbia University, New York, NY, USA +6

  7. SAGE: Semantic Anchor-Guided Evolution for Grounded Medical QA Data Synthesis

    Oct 6, 2026Chuan Li, Chengyu Wang, Cen Chen +3Synthetic Data GenerationBiomedical QA

    East China Normal University, Shanghai, China · Alibaba Group, Hangzhou, China

  8. Improving Synthetic Data Generation for Argument Mining via Adversarial Reinforcement Learning

    Oct 6, 2026Zhijun Zhang, Qianlong Wang, Keyang Ding +5Adversarial TrainingArgument Mining

    College of Applied Science, Shenzhen University, Shenzhen, China · School of Artificial Intelligence, Shenzhen Technology University, Shenzhen, China · Harbin Institute of Technology (Shenzhen), Shenzhen, China +2

  9. HyperNSDE: Personalized Neural SDEs for Joint Static-Longitudinal Clinical Data Generation

    Oct 5, 2026Perrine Chassat, Agathe GuillouxStochastic Differential EquationsSynthetic Data Generation

    Inria, Université Paris Cité, Inserm, HeKA F-75015 Paris, France

  10. Localize Any Object in X-Ray Security Scans without Human Annotation

    Oct 5, 2026Yaqi Cai, Mingxuan Liu, Lorenzo Vaquero +5Self-Supervised LearningSynthetic Data Generation

    University of Trento · Fondazione Bruno Kessler · Dalian University of Technology +1

  11. Turnslide: Scalable Multi-Turn Data Synthesis by Walking a Finite-State Machine

    Oct 5, 2026Aaron Fainman, Gabriela Kadlecová, Maciej Gryka +7LLM Fine-TuningSynthetic Data Generation

    Imperial College London · distil labs · Agon +1

  12. MiniCorp: The Last Mile of the AI Agent Firm

    Oct 5, 2026Jingying Zeng, Zhenwei Dai, Jinning Li +6Synthetic Data GenerationAI Agent Evaluation

    Microsoft · University of Illinois Urbana-Champaign · Princeton University +2

  13. Imagine to Act: High-Fidelity Data Synthesis via Image Editing World Model for Scalable GUI Agent Training

    Oct 5, 2026Yongxin Ning, Runliang Niu, Qianli Xing +4World ModelsSynthetic Data Generation

    School of Artificial Intelligence, Jilin University · College of Computer Science, Jilin University · OPPO

  14. Invent a Dataset: Measuring dataset generation abilities with zero seed

    Oct 1, 2026Shivalika Singh, Andrija Djurisic, Gbemileke Onilude +2Synthetic Data GenerationSynthetic Data Generation for Language Models

    Adaption

  15. AutoGUIWorld: Image Generators as Visual World Models for GUI Agent

    Oct 1, 2026Cheng Yang, Yifan Wu, Yutao Huang +18World Model LearningSynthetic Data Generation

    Hunyuan AI Data Team

  16. Evaluating LLM-Generated Preference Distributions

    Oct 1, 2026Fan Huang, Minsuk Kim, C. Tyler Diggans +1LLM EvaluationSynthetic Data Generation

    Indiana University Bloomington Bloomington, IN, USA · Massachusetts Institute of Technology Cambridge, MA, USA · Root Dynamix LLC Sewickley, PA, USA

  17. Comparison of techniques for fine-tuning open-weight models for entity extraction from radiology reports

    Sep 30, 2026Aawez Mansuri, Kush Mehta, Mohammadreza Chavoshi +10Supervised Fine-TuningSynthetic Data Generation

    Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA · Department of Computer Science, Emory University, Atlanta, GA, USA

  18. PEG-Tab: Sampling-Time Record Repair and Release Control for Tabular Synthesis

    Sep 30, 2026Pengfei Li, QinYi Liu, Mohammad KhalilSynthetic Data GenerationSynthetic Tabular Data Generation

  19. Interpretable Synthetic Medical Tabular Data Generation for Clinical Decision Support Using Fuzzy Cognitive Maps

    Sep 30, 2026Michael Vasilakakis, Dimitris K. IakovidisSynthetic Data GenerationSynthetic Tabular Data Generation

    Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece · Department of Computer Science and Biomedical Informatics University of Thessaly Lamia, Greece

  20. After a Decade: Bringing Shadow Removal into the Real World with Agentic Training Data

    Sep 29, 2026Shilin Hu, Jingyi Xu, Dimitris Samaras +1Synthetic Data AugmentationShadow Removal

    Department of Computer Science Stony Brook University · Department of Computer Science University of North Carolina at Charlotte

  21. Curating Synthetic Data for Task-Specific Visual Perception

    Sep 29, 2026Saptarshi Neil Sinha, Paul Julius Kühn, Michael WeinmannSynthetic-to-Real Domain AdaptationSynthetic Data Generation

    Fraunhofer IGD, 64283 Darmstadt, Germany · Delft University of Technology, 2628 CD Delft, Netherlands

  22. Synthesis Without Training: An Inference-Only Pipeline for Tabular, Temporal, and Relational Synthetic Data

    Sep 29, 2026Zilong Zhao, Abdul Raheem, Jiayu Li +5Constrained Generative ModelingSynthetic Data Generation

    Betterdata AI · National University of Singapore · University of Illinois Urbana-Champaign +1

  23. SimTrace: Grounded Multimodal User Trajectories Generation for Online User Modeling

    Sep 29, 2026Yunan Lu, Shuang Xie, Meghna Allamudi +4Synthetic Data GenerationUser Modeling

    Shopify · Columbia University

  24. MetaPersona: Task-Grounded Synthetic Populations from Empirical Social Science

    Sep 29, 2026Jinyi Ye, Yuangang Li, Chenxiao Yu +7Personality Modeling in Language ModelsSynthetic Data Generation

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

  25. PADMÉ: Preference Alignment Data Synthesis for Meta-Evaluation of LM Agent Evaluators

    Sep 28, 2026Cheng Chang, Yining Mao, Peng QiHuman Preference EvaluationLLM Evaluation

    Uniphore

  26. V-Gym: Enhancing Agentic Visual Reasoning via Skill-Data Co-Evolution

    Sep 28, 2026Bei Yan, Yuecong Min, Jie Zhang +3Synthetic Data GenerationMultimodal Reasoning

    State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · University of Chinese Academy of Sciences, Beijing, China

  27. Fuzzy Distribution Modeling for Synthetic Tabular Data Generation with Causality Preservation

    Sep 28, 2026Michael Vasilakakis, Dimitris K. IakovidisSynthetic Data GenerationSynthetic Tabular Data Generation

    Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece

  28. Behavior-Grounded Semantic Enrichment for Financial Fraud Modeling and Reasoning

    Sep 28, 2026Linbo Shao, Huilin He, Yating Lou +1Synthetic Data GenerationFinancial Fraud Detection

    School of Computer Science and Technology, Tongji University, Shanghai, China

  29. Collaborative Synthetic Data for Privacy-Preserving Financial Fraud Detection Across Organizational Silos

    Sep 27, 2026Simeon Allmendinger, Domenique Zipperling, Burhanettin Bahadir Kibar +1Synthetic Data AugmentationSynthetic Data Generation

    University of Bayreuth, AI Responsibility Centre, and Fraunhofer FIT, Universitätstraße 30, 95447 Bayreuth, Germany · Technical University of Munich, Arcisstraße 21, 80333 Munich, Germany

  30. Geometry-Adaptive Mechanisms for Private Synthetic Data

    Sep 27, 2026Raoof Zare Moayedi, Amir R. Asadi, Mohammad Hossein Yassaee +1Intrinsic DimensionalitySynthetic Data Generation

    Sharif University of Technology · University of Birmingham · The Alan Turing Institute

  31. A Harness for Synthesizing Diverse Naturalistic Full-Duplex Conversations

    Sep 23, 2026Matthew Sun, Vinay Kothapally, Meng Yu +4Spoken Dialogue SystemsSynthetic Data Generation

    Tencent Americas, Palo Alto, CA, USA · Tencent Americas, Bellevue, WA, USA · School of Electronic Information, Wuhan University, Wuhan, Hubei, China

  32. SatUnreal: A High-Precision Synthetic Dataset for Satellite Stereo Matching via Unreal Engine

    Sep 23, 2026Han-Gyeol Kim, JaeWan Park, Junmin Park +1Synthetic-to-Real Domain AdaptationSynthetic Data Generation

    TelePIX, South Korea

  33. EvoAudio: Recursive Self-Improvement for Audio Understanding

    Sep 23, 2026Yuxiang Wang, Shengbo Cai, Yingda Shen +6Synthetic Data GenerationAudio Understanding

    The Chinese University of Hong Kong, Shenzhen · Tencent Hunyuan · Tsinghua University +1

  34. Fast Time-Varying Exponentiated Convolution Methods for Generative Direction Dependent Reverberation

    Sep 21, 2026Yuancheng LuoSynthetic Data GenerationSpatial Audio

    NuSpace Audio, Cambridge, MA, USA

  35. A paired synthetic construction-site image dataset for robust computer vision under adverse conditions

    Sep 21, 2026Viet Huy Duong, Ruoxin Xiong, Md Abdullah Al Forhad +1Synthetic Data GenerationSynthetic Benchmark Generation

    Department of Computer Science, College of Arts and Sciences, Kent State University, Kent, Ohio, United States. · Assistant Professor, Construction Management Program, College of Architecture and Environmental Design, Kent State University, Kent, Ohio, United States. · Department of Computer Science and Engineering, University of North Texas, Denton, Texas, United States. +1

  36. Stochastic Flow Map for Count Data

    Sep 20, 2026Ganchao WeiSynthetic Data GenerationOne-Step Generative Modeling

    Flatiron Institute New York, NY 10010, USA

  37. OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue

    Sep 18, 2026Haolin He, Yunfei Chu, Qi Chen +15Reinforcement LearningSynthetic Data Generation

    The Chinese University of Hong Kong · Alibaba Token Hub, Alibaba Group · Shanghai Jiao Tong University +2

  38. Towards Scaling Marine Perception with Synthetic Data

    Sep 17, 2026Haoyu Ma, Onur Bagoren, Anja Sheppard +6Synthetic-to-Real Domain AdaptationSynthetic Data Generation

    Department of Robotics, University of Michigan, Ann Arbor, MI, USA · Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI, USA

  39. BinoGen: Scaling egocentric binocular data for embodied visual perception and learning

    Sep 17, 2026Chunpeng Li, Ya-tang LiSynthetic Data GenerationStereo Vision

    College of Biological Sciences, China Agricultural University, Beijing, China · Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China · Chinese Institute for Brain Research, Beijing (CIBR), Beijing, China

  40. DataCanvas-EDU: An Agentic Framework for Instructor-Guided Synthetic Data Generation in Business Analytics Education

    Sep 17, 2026Bang An, Maria Hamdani, Joseph FoxSynthetic Data GenerationAI in Education

    Department of Management College of Business University of Akron

  41. Synthetic Electric Vehicle Charging Session Generation Using a Conditional Variational Autoencoder

    Sep 15, 2026Graeme Kelly, Emilio J. Palacios-Garcia, Barry P. HayesSynthetic Data GenerationElectric Vehicle Charging

    School of Engineering and Architecture, University College Cork, Cork, Ireland · MaREI Centre, Sustainability Institute, University College Cork, Cork, Ireland

  42. NeMo Data Designer: An Extensible Framework for Multimodal Synthetic Data Generation

    Sep 15, 2026Johnny Greco, Nabin Mulepati, Andre Manoel +8Synthetic Data GenerationMultimodal Generation

    NVIDIA

  43. LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing

    Sep 14, 2026Mantek Singh, Jeshwanth Challagundla, Prateek Karnal +3ManufacturingSynthetic Data Generation

    Liverpool John Moores University Liverpool, England · University of Texas at Arlington Texas, USA · IIT Patna Patna, India +3

  44. SyntheticDoc: A Large Synthetic Dataset for Document Unwarping and Illumination Correction

    Sep 14, 2026Daniel Woortmann, Tanguy Magne, Olga Sorkine-HornungImage EnhancementSynthetic Data Generation

    ETH Zurich, Department of Computer Science, Universitätstrasse 6, 8092 Zurich, Switzerland

  45. The average-farmer illusion in language-model simulations of agricultural decisions

    Sep 14, 2026Zhanliang Zhu, Ziwei Li, Yuchen Liu +5Synthetic Data GenerationLLM 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

  46. Meddies-PII: A Multilingual Framework for Personally Identifiable Information Extraction in Clinical De-identification

    Sep 14, 2026Linh Uyen Le, Christian Hoang, Huy Hoang HaSynthetic Data GenerationClinical Information Extraction

    Meddies AI, Vietnam

  47. WinSyn: An Automated Pipeline for Realistic Enterprise Question-Answering Evaluation

    Sep 14, 2026Amey Varhade, Ananya Sutradhar, Ravishankar Krishnaswamy +1Synthetic Data GenerationAI Agent Evaluation

    Microsoft Research India

  48. LettuceVisSim: A Simulator That Generates Lettuce Image Time-series for Vision-Based Reinforcement Learning

    Sep 14, 2026Ziye Zhu, Bert van 't Ooster, Congcong Sun +2Synthetic Data GenerationImage Generation

    Agricultural Biosystems Engineering Group, Wageningen University & Research, The Netherlands · Biometris, Wageningen University & Research, The Netherlands

  49. FINESSE: An Agent-Based Simulator and Benchmark Dataset for Multimodal Financial Event Sequences

    Sep 14, 2026Tyler Farnan, Benjamin Eng, Adam Abate +4Quantitative FinanceSynthetic Data Generation

    Capital One

  50. LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics

    Sep 12, 2026Mariia Baranova, Adrien Petralia, Etienne Le Naour +3Synthetic Data GenerationBuilding Energy Management

    EDF R&D, Palaiseau, France · Université Paris Cité, F-75006 Paris, France

  51. Generating a Consistent Enterprise: Synthesis and Reference-Free Evaluation of Multi-System Business Data

    Sep 10, 2026Benjamin Gruenbaum, Doron Porat, Assaf Natanzon +4Synthetic Data GenerationSynthetic Benchmark Generation

    Eon

  52. SynCo: Synthetic Community-Aware Attributed Graph Generator for Graph Neural Network Benchmarking

    Sep 9, 2026Guilherme Henrique Messias, Mariana Caravanti de Souza, Sylvia Iasulaitis +1Synthetic Data AugmentationGraph Generation

    Federal University of São Carlos, São Carlos, São Paulo, Brazil · Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil

  53. Subgroup Membership Inference Audits of Differentially Private Synthetic Text

    Sep 9, 2026Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar +2Privacy AuditingMembership Inference Attacks

    Imperial College London, Imperial Global Singapore · Nanyang Technological University, Singapore · Imperial College London, United Kingdom

  54. ToolLoop: Closed-Loop Tool-Use Data Synthesis via Decomposed Generation and Dynamic Self-Feedback

    Sep 8, 2026Min Zeng, Yuzhou Liu, Zhenyu Cao +5Tool-Augmented Language Model AgentsSynthetic Data Generation

    vivo AI Lab

  55. LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation

    Sep 8, 2026Zijian Shen, Bin Zhou, Jiguang Wang +2Bayesian NetworksSynthetic Data Generation

    Department of Civil Engineering, The University of Hong Kong · Department of Urban Planning and Design, The University of Hong Kong

  56. MedFlow: Class-Aware Multi-Scale Generation for Medical Time-Series Synthesis

    Sep 7, 2026Yanhao Huang, Shibo Feng, Wanjin Feng +2Flow MatchingSynthetic Data Generation

    Shanghai Jiao Tong University · Nanyang Technological University · Tsinghua University

  57. MiDShip: Multimodal Dataset of Ship Cargo Hold Structures for Engineering Design

    Sep 4, 2026Noah J. Bagazinski, Md. Ferdous Alam, Jaya Manideep Rebbagondla +1Synthetic Data GenerationSynthetic Data Evaluation

    Department of Mechanical Engineering, Massachusetts Institute of Technology Cambridge, MA 02139 · George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology Atlanta, GA 30318

  58. The Impact of Synthetic Data Augmentation on Discourse-Pragmatic Function Classification

    Sep 3, 2026Sara Sorahi, Kevin Tang, Reza KazemianSynthetic Data AugmentationSynthetic Data Generation

    Faculty of Arts and Humanities, Heinrich Heine University Düsseldorf · Institute of Linguistics · Department of English Language and Linguistics +2

  59. How Far Can Synthetic Data Take Thai OCR?

    Sep 3, 2026Kunat PipatanakulSynthetic-to-Real Domain AdaptationSynthetic Data Generation

    Wayu Research · Paxa Labs

  60. Building Pretraining Data for World Models: An Unreal Engine-Based Pipeline for Action-Conditioned Video Generation

    Sep 3, 2026Haoyu Wang, Songchun Zhang, Haoran Li +3Action-Conditioned Video GenerationMulti-View Video Generation

    1Joy Future Academy, JD · 2Tsinghua University · 3The Hong Kong University of Science and Technology