Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Khalil, Mohammad, Urmian, Sam, Shakya, Ronas, Liu, Qinyi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Privacy-Preserving Data-Driven Education: The Potential of Federated Learning
by: Khalil, Mohammad, et al.
Published: (2025)
by: Khalil, Mohammad, et al.
Published: (2025)
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics
by: Liu, Qinyi, et al.
Published: (2024)
by: Liu, Qinyi, et al.
Published: (2024)
Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN
by: Liu, Qinyi, et al.
Published: (2026)
by: Liu, Qinyi, et al.
Published: (2026)
Advancing privacy in learning analytics using differential privacy
by: Liu, Qinyi, et al.
Published: (2025)
by: Liu, Qinyi, et al.
Published: (2025)
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
by: Bordt, Sebastian, et al.
Published: (2024)
by: Bordt, Sebastian, et al.
Published: (2024)
BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation
by: Zhu, Alan, et al.
Published: (2025)
by: Zhu, Alan, et al.
Published: (2025)
FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs
by: Nguyen, Anh, et al.
Published: (2025)
by: Nguyen, Anh, et al.
Published: (2025)
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models
by: Yuan, Yefeng, et al.
Published: (2024)
by: Yuan, Yefeng, et al.
Published: (2024)
Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy
by: Biswas, Anjanava, et al.
Published: (2024)
by: Biswas, Anjanava, et al.
Published: (2024)
Existing Large Language Model Unlearning Evaluations Are Inconclusive
by: Feng, Zhili, et al.
Published: (2025)
by: Feng, Zhili, et al.
Published: (2025)
Leveraging Language Models for Automated Patient Record Linkage
by: Beheshti, Mohammad, et al.
Published: (2025)
by: Beheshti, Mohammad, et al.
Published: (2025)
Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
by: Li, Dawei, et al.
Published: (2025)
by: Li, Dawei, et al.
Published: (2025)
Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models
by: Ghanadian, Hamideh, et al.
Published: (2024)
by: Ghanadian, Hamideh, et al.
Published: (2024)
Artificial Conversations, Real Results: Fostering Language Detection with Synthetic Data
by: Mohammadi, Fatemeh, et al.
Published: (2025)
by: Mohammadi, Fatemeh, et al.
Published: (2025)
Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
by: Lan, Tian, et al.
Published: (2025)
by: Lan, Tian, et al.
Published: (2025)
An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications
by: Garrido-Merchán, Eduardo C., et al.
Published: (2023)
by: Garrido-Merchán, Eduardo C., et al.
Published: (2023)
Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models
by: Hu, Zizhao, et al.
Published: (2025)
by: Hu, Zizhao, et al.
Published: (2025)
Generating Realistic Tabular Data with Large Language Models
by: Nguyen, Dang, et al.
Published: (2024)
by: Nguyen, Dang, et al.
Published: (2024)
Source Attribution for Large Language Model-Generated Data
by: Wang, Jingtan, et al.
Published: (2023)
by: Wang, Jingtan, et al.
Published: (2023)
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges
by: Ibrahim, Mahmoud, et al.
Published: (2024)
by: Ibrahim, Mahmoud, et al.
Published: (2024)
Provable Benefits of In-Tool Learning for Large Language Models
by: Houliston, Sam, et al.
Published: (2025)
by: Houliston, Sam, et al.
Published: (2025)
R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?
by: Zhang, Jingyi, et al.
Published: (2026)
by: Zhang, Jingyi, et al.
Published: (2026)
Synthetic Data Generation for Augmenting Small Samples
by: Liu, Dan, et al.
Published: (2025)
by: Liu, Dan, et al.
Published: (2025)
Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
by: Ulm, Jannek, et al.
Published: (2025)
by: Ulm, Jannek, et al.
Published: (2025)
Eurekaverse: Environment Curriculum Generation via Large Language Models
by: Liang, William, et al.
Published: (2024)
by: Liang, William, et al.
Published: (2024)
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
by: Apellániz, Patricia A., et al.
Published: (2024)
by: Apellániz, Patricia A., et al.
Published: (2024)
Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades
by: Si, Chongjie, et al.
Published: (2025)
by: Si, Chongjie, et al.
Published: (2025)
Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
by: Zhang, Hanwen, et al.
Published: (2025)
by: Zhang, Hanwen, et al.
Published: (2025)
Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences
by: Falahati, Ali, et al.
Published: (2026)
by: Falahati, Ali, et al.
Published: (2026)
Aligning Agents like Large Language Models
by: Jelley, Adam, et al.
Published: (2024)
by: Jelley, Adam, et al.
Published: (2024)
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis
by: Zbeeb, Mohammad, et al.
Published: (2024)
by: Zbeeb, Mohammad, et al.
Published: (2024)
Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models
by: An, Tai, et al.
Published: (2025)
by: An, Tai, et al.
Published: (2025)
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
by: Wang, Wenxuan, et al.
Published: (2025)
by: Wang, Wenxuan, et al.
Published: (2025)
Generating Synthetic Net Load Data with Physics-informed Diffusion Model
by: Zhang, Shaorong, et al.
Published: (2024)
by: Zhang, Shaorong, et al.
Published: (2024)
Metadata Extraction Leveraging Large Language Models
by: Han, Cuize, et al.
Published: (2025)
by: Han, Cuize, et al.
Published: (2025)
Leveraging Large Language Models for Web Scraping
by: Ahluwalia, Aman, et al.
Published: (2024)
by: Ahluwalia, Aman, et al.
Published: (2024)
Provable Training Data Identification for Large Language Models
by: Liu, Zhenlong, et al.
Published: (2025)
by: Liu, Zhenlong, et al.
Published: (2025)
DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
by: Zhou, Ying, et al.
Published: (2024)
by: Zhou, Ying, et al.
Published: (2024)
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models
by: Havrilla, Alex, et al.
Published: (2024)
by: Havrilla, Alex, et al.
Published: (2024)
Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
by: Pecher, Branislav, et al.
Published: (2026)
by: Pecher, Branislav, et al.
Published: (2026)
Similar Items
-
Towards Privacy-Preserving Data-Driven Education: The Potential of Federated Learning
by: Khalil, Mohammad, et al.
Published: (2025) -
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics
by: Liu, Qinyi, et al.
Published: (2024) -
Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN
by: Liu, Qinyi, et al.
Published: (2026) -
Advancing privacy in learning analytics using differential privacy
by: Liu, Qinyi, et al.
Published: (2025) -
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
by: Bordt, Sebastian, et al.
Published: (2024)