Synthetic Data Generation papers, 2023–2026

Key findings

• Synthetic Data Generation went from 72 papers in 2023 to 96 in 2026, roughly 1.3x in three years.
• NeurIPS publishes the most Synthetic Data Generation work: 114 papers from 2023 to 2026, 41% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 6 in 2023 to 20 in 2026.
• Among the 5 topics under Data-Centric AI, it ranks #1 by 2026 paper count; the fastest grower in the group, Weak Supervision, is up 1.3x versus 1.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Breaking the Quality–Privacy Tradeoff in Tabular Data Generation via In-Context Learning
• ICML 2026Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
• ICLR 2026Critic–Adviser–Reviser Cyclic Refinement: Towards High-Quality EMR Corpus Generation with LLMs
• CVPR 2026Beyond Objects Contextual Synthetic Data Generation for Fine-Grained Classification
• NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
• ICML 2025Synthetic Text Generation for Training Large Language Models via Gradient Matching
• ICLR 2025Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
• CVPR 2025Synthetic Visual Genome
• NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
• ICML 2024CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
• ICLR 2024A Linear Algebraic Framework for Counterfactual Generation
• CVPR 2024Learning from Synthetic Human Group Activities
• NeurIPS 2023[Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification
• ICML 2023Data Feedback Loops: Model-driven Amplification of Dataset Biases
• ICLR 2023Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
• CVPR 2023Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
• NeurIPS 2026Learning with Synthetic Data via SGD in High-Dimensional Linear Regression
• ICML 2026Counterfactual Residual Data Augmentation for Regression
• ICLR 2026Making, Not Taking, the Best of N
• CVPR 2026Order Matters 3D Shape Generation from Sequential VR Sketches

All Synthetic Data Generation papers

277 papers, page 3 of 6

101. CVPR 2025Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling
102. CVPR 2025From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models
103. CVPR 2025MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generation
104. CVPR 2025Motion Modes: What Could Happen Next?
105. CVPR 2025MultiMorph: On-demand Atlas Construction
106. CVPR 2025S2D-LFE: Sparse-to-Dense Light Field Event Generation
107. CVPR 2025SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation
108. CVPR 2025Synthetic Visual Genome
109. CVPR 2025SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces
110. CVPR 2025Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene
111. ICLR 2025API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
112. ICLR 2025Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
113. ICLR 2025Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies
114. ICLR 2025Continuous Diffusion for Mixed-Type Tabular Data
115. ICLR 2025CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair
116. ICLR 2025CTSyn: A Foundation Model for Cross Tabular Data Generation
117. ICLR 2025DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
118. ICLR 2025DataGen: Unified Synthetic Dataset Generation via Large Language Models
119. ICLR 2025Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
120. ICLR 2025Gaussian Mixture Counterfactual Generator
121. ICLR 2025MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI
122. ICLR 2025Personalized Representation from Personalized Generation
123. ICLR 2025Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
124. ICLR 2025Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation
125. ICLR 2025Synthetic continued pretraining
126. ICLR 2025The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
127. ICLR 2025Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
128. ICLR 2025Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors
129. ICML 2025BAnG: Bidirectional Anchored Generation for Conditional RNA Design
130. ICML 2025BOOD: Boundary-based Out-Of-Distribution Data Generation
131. ICML 2025Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks
132. ICML 2025Learning-Order Autoregressive Models with Application to Molecular Graph Generation
133. ICML 2025Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
134. ICML 2025SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs
135. ICML 2025Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion
136. ICML 2025Synthetic Text Generation for Training Large Language Models via Gradient Matching
137. ICML 2025TabSDS: a Lightweight, Fully Non-Parametric, and Model Free Approach for Generating Synthetic Tabular Data
138. NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
139. NeurIPS 2025Amortized Active Generation of Pareto Sets
140. NeurIPS 2025AR-RAG: Autoregressive Retrieval Augmentation for Image Generation
141. NeurIPS 2025AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
142. NeurIPS 2025ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions
143. NeurIPS 2025Constrained Posterior Sampling: Time Series Generation with Hard Constraints
144. NeurIPS 2025Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
145. NeurIPS 2025FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies
146. NeurIPS 2025Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
147. NeurIPS 2025Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference
148. NeurIPS 2025Increasing the Utility of Synthetic Images through Chamfer Guidance
149. NeurIPS 2025KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
150. NeurIPS 2025MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning

FAQ

How many Synthetic Data Generation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

277 in total: 72 in 2023, 41 in 2024, 68 in 2025, 96 in 2026.

How many Synthetic Data Generation papers are at NeurIPS 2026?

NeurIPS 2026 has 24 Synthetic Data Generation papers, versus 27 the year before.

How many Synthetic Data Generation papers are at ICLR 2026?

ICLR 2026 has 26 Synthetic Data Generation papers, versus 18 the year before.

How many Synthetic Data Generation papers are at ICML 2026?

ICML 2026 has 21 Synthetic Data Generation papers, versus 9 the year before.

How many Synthetic Data Generation papers are at CVPR 2026?

CVPR 2026 has 25 Synthetic Data Generation papers, versus 14 the year before.

Which conference publishes the most Synthetic Data Generation papers?

NeurIPS, with 114 papers from 2023 to 2026.