A text-to-tabular approach to generate synthetic patient data using LLMs
Fuente:
arXiv
Guardado en:
| Autores principales: | Tornqvist, Margaux, Zucker, Jean-Daniel, Fauvel, Tristan, Lambert, Nicolas, Berthelot, Mathilde, Movschin, Antoine |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
An improved tabular data generator with VAE-GMM integration
por: Apellániz, Patricia A., et al.
Publicado: (2024)
por: Apellániz, Patricia A., et al.
Publicado: (2024)
Interpretable classifiers for tabular data via discretization and feature selection
por: Jaakkola, Reijo, et al.
Publicado: (2024)
por: Jaakkola, Reijo, et al.
Publicado: (2024)
A separability-based approach to quantifying generalization: which layer is best?
por: Dyballa, Luciano, et al.
Publicado: (2024)
por: Dyballa, Luciano, et al.
Publicado: (2024)
Dependency-aware synthetic tabular data generation
por: Umesh, Chaithra, et al.
Publicado: (2025)
por: Umesh, Chaithra, et al.
Publicado: (2025)
Physics-informed Variational Autoencoders for Improved Robustness to Environmental Factors of Variation
por: Thoreau, Romain, et al.
Publicado: (2022)
por: Thoreau, Romain, et al.
Publicado: (2022)
TextCAVs: Debugging vision models using text
por: Nicolson, Angus, et al.
Publicado: (2024)
por: Nicolson, Angus, et al.
Publicado: (2024)
TRACE: A taxonomy-grounded synthetic dataset for teaching-program generation and session interpretation in Applied Behavior Analysis
por: Kahunla, Festus
Publicado: (2026)
por: Kahunla, Festus
Publicado: (2026)
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
por: Landolsi, Erik, et al.
Publicado: (2024)
por: Landolsi, Erik, et al.
Publicado: (2024)
Convex space learning for tabular synthetic data generation
por: Mahendra, Manjunath, et al.
Publicado: (2024)
por: Mahendra, Manjunath, et al.
Publicado: (2024)
Evaluating quality in synthetic data generation for large tabular health datasets
por: Escudié, Jean-Baptiste, et al.
Publicado: (2026)
por: Escudié, Jean-Baptiste, et al.
Publicado: (2026)
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
por: Leyli-abadi, Milad, et al.
Publicado: (2025)
por: Leyli-abadi, Milad, et al.
Publicado: (2025)
eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
por: Mansour, Jad, et al.
Publicado: (2024)
por: Mansour, Jad, et al.
Publicado: (2024)
Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation
por: Pachet, François, et al.
Publicado: (2026)
por: Pachet, François, et al.
Publicado: (2026)
Human-interpretable clustering of short-text using large language models
por: Miller, Justin K., et al.
Publicado: (2024)
por: Miller, Justin K., et al.
Publicado: (2024)
Advancements in synthetic data extraction for industrial injection molding
por: Rottenwalter, Georg, et al.
Publicado: (2025)
por: Rottenwalter, Georg, et al.
Publicado: (2025)
Deepfake audio as a data augmentation technique for training automatic speech to text transcription models
por: Ferreira, Alexandre R., et al.
Publicado: (2023)
por: Ferreira, Alexandre R., et al.
Publicado: (2023)
Zero-shot generalization across architectures for visual classification
por: Gerritz, Evan, et al.
Publicado: (2024)
por: Gerritz, Evan, et al.
Publicado: (2024)
Learning, Fast and Slow: Towards LLMs That Adapt Continually
por: Tiwari, Rishabh, et al.
Publicado: (2026)
por: Tiwari, Rishabh, et al.
Publicado: (2026)
Using text embedding models as text classifiers with medical data
por: Goel, Rishabh
Publicado: (2024)
por: Goel, Rishabh
Publicado: (2024)
Targeted synthetic data generation for tabular data via hardness characterization
por: Ferracci, Tommaso, et al.
Publicado: (2024)
por: Ferracci, Tommaso, et al.
Publicado: (2024)
MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation
por: Kumari, Chandrani, et al.
Publicado: (2023)
por: Kumari, Chandrani, et al.
Publicado: (2023)
What Teaches Robots to Walk, Teaches Them to Trade too -- Regime Adaptive Execution using Informed Data and LLMs
por: Saqur, Raeid
Publicado: (2024)
por: Saqur, Raeid
Publicado: (2024)
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations
por: Shen, Yueyang, et al.
Publicado: (2024)
por: Shen, Yueyang, et al.
Publicado: (2024)
Latent Instruction Representation Alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs
por: Easley, Eric, et al.
Publicado: (2026)
por: Easley, Eric, et al.
Publicado: (2026)
Semantic Convergence: Investigating Shared Representations Across Scaled LLMs
por: Son, Daniel, et al.
Publicado: (2025)
por: Son, Daniel, et al.
Publicado: (2025)
SQARL: A Size-Agnostic Reinforcement Learning approach for Circuit Allocation in Distributed Quantum Architectures
por: Carballo, Víctor, et al.
Publicado: (2026)
por: Carballo, Víctor, et al.
Publicado: (2026)
Robot guide with multi-agent control and automatic scenario generation with LLM
por: Moskovskaya, Elizaveta D., et al.
Publicado: (2025)
por: Moskovskaya, Elizaveta D., et al.
Publicado: (2025)
WorkflowGen:an adaptive workflow generation mechanism driven by trajectory experience
por: Wei, Ruocan, et al.
Publicado: (2026)
por: Wei, Ruocan, et al.
Publicado: (2026)
Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning
por: Puccioni, Laura, et al.
Publicado: (2025)
por: Puccioni, Laura, et al.
Publicado: (2025)
PersonalLLM: Tailoring LLMs to Individual Preferences
por: Zollo, Thomas P., et al.
Publicado: (2024)
por: Zollo, Thomas P., et al.
Publicado: (2024)
Less is More: Learning Graph Tasks with Just LLMs
por: Shirai, Sola, et al.
Publicado: (2025)
por: Shirai, Sola, et al.
Publicado: (2025)
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
por: Kovač, Grgur, et al.
Publicado: (2025)
por: Kovač, Grgur, et al.
Publicado: (2025)
Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
por: Eisenstadt, Roy, et al.
Publicado: (2025)
por: Eisenstadt, Roy, et al.
Publicado: (2025)
When Words Change the Model: Sensitivity of LLMs for Constraint Programming Modelling
por: Pellegrino, Alessio, et al.
Publicado: (2025)
por: Pellegrino, Alessio, et al.
Publicado: (2025)
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
por: Pareja, Aldo, et al.
Publicado: (2024)
por: Pareja, Aldo, et al.
Publicado: (2024)
Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models
por: Nakamura, Mason, et al.
Publicado: (2025)
por: Nakamura, Mason, et al.
Publicado: (2025)
When Models Can't Follow: Testing Instruction Adherence Across 256 LLMs
por: Young, Richard J., et al.
Publicado: (2025)
por: Young, Richard J., et al.
Publicado: (2025)
Regularisation in neural networks: a survey and empirical analysis of approaches
por: Opperman, Christiaan P., et al.
Publicado: (2026)
por: Opperman, Christiaan P., et al.
Publicado: (2026)
Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels
por: Rath, Plawan Kumar, et al.
Publicado: (2026)
por: Rath, Plawan Kumar, et al.
Publicado: (2026)
DPO Unchained: Your Training Algorithm is Secretly Disentangled in Human Choice Theory
por: Zhou, Wenxuan, et al.
Publicado: (2025)
por: Zhou, Wenxuan, et al.
Publicado: (2025)
Ejemplares similares
-
An improved tabular data generator with VAE-GMM integration
por: Apellániz, Patricia A., et al.
Publicado: (2024) -
Interpretable classifiers for tabular data via discretization and feature selection
por: Jaakkola, Reijo, et al.
Publicado: (2024) -
A separability-based approach to quantifying generalization: which layer is best?
por: Dyballa, Luciano, et al.
Publicado: (2024) -
Dependency-aware synthetic tabular data generation
por: Umesh, Chaithra, et al.
Publicado: (2025) -
Physics-informed Variational Autoencoders for Improved Robustness to Environmental Factors of Variation
por: Thoreau, Romain, et al.
Publicado: (2022)