Cover Image

TAGAL: Tabular Data Generation using Agentic LLM Methods

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ronval, Benoît, Dupont, Pierre, Nijssen, Siegfried
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees
by: Panagiotou, Emmanouil, et al.
Published: (2025)

Anytime Optimal Decision Tree Learning with Continuous Features
by: Kiossou, Harold, et al.
Published: (2026)

Tabular Data Generation using Binary Diffusion
by: Kinakh, Vitaliy, et al.
Published: (2024)

A Generic Complete Anytime Beam Search for Optimal Decision Tree
by: Kiossou, Harold Silvère, et al.
Published: (2025)

LLM Embeddings for Deep Learning on Tabular Data
by: Koloski, Boshko, et al.
Published: (2025)

When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation
by: Ward, Joshua, et al.
Published: (2025)

Team, Then Trim: An Assembly-Line LLM Framework for High-Quality Tabular Data Generation
by: Zhang, Congjing, et al.
Published: (2026)

Measuring LLM Sensitivity in Transformer-based Tabular Data Synthesis
by: R, Maria F. Davila, et al.
Published: (2025)

Automatic Demonstration Selection for LLM-based Tabular Data Classification
by: Han, Shuchu, et al.
Published: (2025)

Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs
by: Yang, Shuo, et al.
Published: (2025)

Improving LLM Group Fairness on Tabular Data via In-Context Learning
by: Cherepanova, Valeriia, et al.
Published: (2024)

GEM-T: Generative Tabular Data via Fitting Moments
by: Li, Miao, et al.
Published: (2025)

Diffusion Transformers for Tabular Data Time Series Generation
by: Garuti, Fabrizio, et al.
Published: (2025)

Generating Realistic Tabular Data with Large Language Models
by: Nguyen, Dang, et al.
Published: (2024)

TabularQGAN: A Quantum Generative Model for Tabular Data
by: Bhardwaj, Pallavi, et al.
Published: (2025)

Exploring Transformer Placement in Variational Autoencoders for Tabular Data Generation
by: Silva, Aníbal, et al.
Published: (2026)

Multi-Agent Debate: A Unified Agentic Framework for Tabular Anomaly Detection
by: Wang, Pinqiao, et al.
Published: (2026)

LATTLE: LLM Attention Transplant for Transfer Learning of Tabular Data Across Disparate Domains
by: Kowsar, Ibna, et al.
Published: (2025)

Universal Embeddings of Tabular Data
by: Franz, Astrid, et al.
Published: (2025)

Synthesizing Tabular Data Using Selectivity Enhanced Generative Adversarial Networks
by: Zhou, Youran, et al.
Published: (2025)

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs
by: Nguyen, Anh, et al.
Published: (2025)

A Sobering Look at Tabular Data Generation via Probabilistic Circuits
by: Scassola, Davide, et al.
Published: (2026)

Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers
by: Kasneci, Gjergji, et al.
Published: (2024)

Limited Reference, Reliable Generation: A Two-Component Framework for Tabular Data Generation in Low-Data Regimes
by: Jiang, Mingxuan, et al.
Published: (2025)

Deep Feature Embedding for Tabular Data
by: Wu, Yuqian, et al.
Published: (2024)

Automated Model Selection for Tabular Data
by: Amballa, Avinash, et al.
Published: (2024)

CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis
by: Alshantti, Abdallah, et al.
Published: (2023)

Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
by: Dobhal, Umang, et al.
Published: (2026)

Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
by: Nam, Jaehyun, et al.
Published: (2024)

Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study
by: Panagiotou, Emmanouil, et al.
Published: (2024)

TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation
by: Fang, Liancheng, et al.
Published: (2025)

A Note on Statistically Accurate Tabular Data Generation Using Large Language Models
by: Sidorenko, Andrey
Published: (2025)

HyperFast: Instant Classification for Tabular Data
by: Bonet, David, et al.
Published: (2024)

Interpretable Graph Neural Networks for Tabular Data
by: Alkhatib, Amr, et al.
Published: (2023)

Fully Test-time Adaptation for Tabular Data
by: Zhou, Zhi, et al.
Published: (2024)

Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets
by: Bendinelli, Tommaso, et al.
Published: (2025)

Generating Synthetic Relational Tabular Data via Structural Causal Models
by: Hoppe, Frederik, et al.
Published: (2025)

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
by: Wang, Dongjie, et al.
Published: (2025)

TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting
by: Margeloiu, Andrei, et al.
Published: (2024)

Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data
by: Herurkar, Dayananda, et al.
Published: (2025)