Synthetic Data Generation

A Sobering Look at Tabular Data Generation via Probabilistic Circuits UAI 2026 CRIT: Graph-Based Automatic Data Synthesis to Enhance Cross-Modal Multi-Hop Reasoning CVPR 2026 Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification JMLR 2026 Minimax optimal differentially private synthetic data for smooth queries COLT 2026 Phatthachdau at SemEval-2026 Task 9: A Multi-Stage Augment-Judge-Train Pipeline for Multilingual Online Polarization Detection SemEval 2026 Synthetic Data Generation for Training Diversified Commonsense Reasoning Models ACL 2026 Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios ACL 2026 Text2Tabular – Reconstructing Tabular Research Data from Scientific Publications ACL 2026 Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration UAI 2026 A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets AISTATS 2025 A Generalized Theory of Mixup for Structure-Preserving Synthetic Data AISTATS 2025 Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining EMNLP 2025 Is Lunch Free Yet? Overcoming the Cold-Start Problem in Supervised Content Scoring using Zero-Shot LLM-Generated Training Data ACL 2025 On Synthesizing Data for Context Attribution in Question Answering ACL 2025 SpaRE: Enhancing Spatial Reasoning in Vision-Language Models with Synthetic Data ACL 2025 Synthetic Data Generation Using Large Language Models for Financial Question Answering COLING 2025 TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility AISTATS 2025 Algorithmically Effective Differentially Private Synthetic Data COLT 2023 Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms ICLR 2023 ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data ACML 2021