Overview

Synthetic data evaluation asks whether generated examples are realistic and suitable for their intended use, such as model training, scientific inference, or benchmarking. Researchers combine distributional and dependence metrics with train-on-synthetic, test-on-real experiments, human or expert review, domain-specific checks, and privacy attacks. Controlled benchmarks with known structure can test whether methods preserve causal, temporal, subgroup, or task-relevant properties that ordinary summary statistics may miss. A central open challenge is that no single fidelity score reliably predicts utility or privacy: results depend on the task, data domain, and evaluation protocol.

Latest papers

CardsList

236 papers26 papers in the last four weeks, down 19% on the four weeks before. 0.2% of all new papers.

  1. Multimodal Dataset Normalization and Perceptual Validation for Music-Taste Correspondences

    Apr 12, 2026Matteo Spanio, Valentina Frezzato, Antonio RodàSynthetic Data Evaluation

  2. Synthesizing real-world distributions from high-dimensional Gaussian Noise with Fully Connected Neural Network

    Apr 10, 2026Joanna KomorniczakSynthetic Tabular Data GenerationGenerative Modeling

  3. Validated Synthetic Patient Generation for Small Longitudinal Cohorts: Coagulation Dynamics Across Pregnancy

    Apr 8, 2026Jeffrey D. Varner, Maria Cristina Bravo, Carole McBride +2Synthetic Data GenerationSynthetic Tabular Data Generation

  4. Stable and Privacy-Preserving Synthetic Educational Data with Empirical Marginals: A Copula-Based Approach

    Apr 5, 2026Gabriel Diaz Ramos, Lorenzo Luzi, Debshila Basu Mallick +1Differentially Private Synthetic Data GenerationSynthetic Data Generation

  5. Statistical realism is not evidence that LLMs can estimate treatment effects in social science experiments

    Apr 2, 2026Zonghan Li, Feng JiLarge Language Model-Based Social SimulationSynthetic Data Evaluation

  6. Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams

    Apr 1, 2026Andrea Maldonado, Christian Imenkamp, Hendrik Reiter +4Process MiningSynthetic Data Evaluation

  7. Optimsyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation

    Apr 1, 2026Zhiting Fan, Ruizhe Chen, Tianxiang Hu +7Synthetic Data GenerationSynthetic Data Evaluation

  8. Reasoning-Driven Synthetic Data Generation and Evaluation

    Mar 31, 2026Tim R. Davidson, Benoit Seguin, Enrico Bacis +2Synthetic Data GenerationSynthetic Data Evaluation

  9. Leveraging Synthetic Data for Enhancing Egocentric Hand-Object Interaction Detection

    Mar 31, 2026Rosario Leonardi, Antonino Furnari, Francesco Ragusa +1Hand-Object Interaction DetectionHuman-Object Interaction

  10. Synthetic Designed Experiments for Diagnosing Vision Model Failure

    Mar 30, 2026Krisanu SarkarSynthetic Data EvaluationAlgorithmic Auditing

  11. Amalgam: Hybrid LLM-PGM Synthesis Algorithm for Accuracy and Realism

    Mar 28, 2026Antheas Kapenekakis, Bent Thomsen, Katja Hose +1Synthetic Tabular Data GenerationGenerative Modeling

  12. Evaluating Synthetic Images as Effective Substitutes for Experimental Data in Surface Roughness Classification

    Mar 26, 2026Binwei Chen, Huachao Leng, Chi Yeung Mang +5Synthetic Data EvaluationSynthetic Data Augmentation

  13. Synthetic Cardiac MRI Image Generation using Deep Generative Models

    Mar 25, 2026Ishan Kumarasinghe, Dasuni Kawya, Madhura Edirisooriya +3Synthetic Data GenerationMedical Image Synthesis

  14. Generating High Quality Synthetic Data for Dutch Medical Conversations

    Mar 25, 2026Cecilia Kuan, Aditya Kamlesh Parikh, Henk van den HeuvelSynthetic Data Generation for Language ModelsText Generation

  15. A Sobering Look at Tabular Data Generation via Probabilistic Circuits

    Mar 24, 2026Davide Scassola, Dylan Ponsford, Adrián Javaloy +4Synthetic Tabular Data GenerationProbabilistic Circuits

  16. MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data

    Mar 19, 2026Masoumeh Shafieinejad, Xi He, Mahshid Alinoori +6Synthetic Data EvaluationMembership Inference Attacks

  17. Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation

    Mar 18, 2026Iakovos-Christos Zarkadis, Christos DouligerisNetwork Intrusion DetectionSynthetic Data Generation

  18. Who Benchmarks the Benchmarks? A Case Study of LLM Evaluation in Icelandic

    Mar 17, 2026Finnur Ágúst Ingimundarson, Steinunn Rut Friðriksdóttir, Bjarki Ármannsson +2LLM EvaluationBenchmark Validity

  19. REAEDP: Entropy-Calibrated Differentially Private Data Release with Formal Guarantees and Attack-Based Evaluation

    Mar 14, 2026Bo Ma, Jinsong Wu, Wei Qi YanDifferentially Private Synthetic Data GenerationDifferential Privacy

  20. Design and evaluation of an agentic workflow for crisis-related synthetic tweet datasets

    Mar 13, 2026Roben Delos Reyes, Timothy Douglas, Asanobu KitamotoSynthetic Data GenerationAgentic Workflows

  21. Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks

    Mar 13, 2026Pei-Yu Lin, Yidan Shen, Neville Mathew +6Medical Image SynthesisSynthetic Data Evaluation

  22. QAQ: Bidirectional Semantic Coherence for Selecting High-Quality Synthetic Code Instructions

    Mar 12, 2026Jiayin Lei, Ming Ma, Yunxi Duan +2Instruction-Tuning Data SelectionCode Generation

  23. Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions

    Mar 11, 2026Ziwei Wang, Zhentao He, Xingyi He +6Synthetic Data GenerationBrain-Computer Interfaces

  24. A Standardized Framework For Evaluating Gene Expression Generative Models

    Mar 11, 2026Andrea Rubbi, Andrea Giuseppe Di Francesco, Mohammad Lotfollahi +1Synthetic Data EvaluationSingle-Cell Transcriptomics

  25. Quantifying Membership Disclosure Risk for Tabular Synthetic Data Using Kernel Density Estimators

    Mar 11, 2026Rajdeep Pathak, Amit Basak, Sayantee JanaMembership Inference AttacksSynthetic Data Evaluation

  26. Grounding Synthetic Data Generation With Vision and Language Models

    Mar 10, 2026Ümit Mert Çağlar, Alptekin TemizelSynthetic Data AugmentationSynthetic Data Evaluation