Tabular Data

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

12 new papers

A weekly snapshot of new work published in Tabular Data.

Period ending 2026-09-14

7 new papers

A weekly snapshot of new work published in Tabular Data.

Period ending 2026-09-07

10 new papers

A weekly snapshot of new work published in Tabular Data.

Inside this field

Focused directions

319 papers

Latest in Tabular Data

Open your feed →
CardsList

  1. GraphToolbox: A Configurable Python Framework for Graph Neural Network Forecasting

    Sep 21, 2026Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude +1Electricity Price ForecastingTabular Prior-Data Fitted Network

  2. PACE: Plug-and-Play Contextual Embedding for Feature Screening with Pretrained Tabular Foundation Models

    Sep 20, 2026Qi Qin, Erbo Li, Ting Wei +4Tabular LearningPrincipal Component Analysis

  3. MetaRTL: Meta-path Attention Enhanced Relational Table Learning

    Sep 17, 2026Ken Zhong, Weichen Li, Zheng WangRelational Deep LearningRelational

  4. Machine-Learning Assessment of the Predictive Value of Inflammatory Biomarkers for Cognitive Impairment in an Older Hispanic Adult Cohort

    Sep 16, 2026Antony Garcia, Gabrielle Britton, Alcibiades Villarreal +3BiomarkerMild Cognitive Impairment

  5. TacBPM: A Tactile-conditioned Behavior Prior Model for Dexterous Reorientation

    Sep 16, 2026Jie Yin, Wanli Xing, Zeyuan Zhao +3Dexterous ManipulationTabpfn

  6. Benchmarking Tabular Foundation Models as Surrogates in Expensive Evolutionary Optimization

    Sep 16, 2026Lu Han, Jin Wang, Yuchen Li +5Surrogate ModelsTabular Foundation Models

  7. TabPFN-3.5: Technical Report

    Sep 15, 2026Benjamin Jäger, Nick Erickson, Léo Grinsztajn +44Tabular Foundation ModelsReal-Time Inference

  8. Tables Decoded: DELTA for Structure, TARQA for Understanding

    Sep 15, 2026Jahanvi Rajput, Dhruv Kudale, Saikiran Kasturi +2Tabular DataMultilingual

  9. Agentic Search Spaces for Tabular Machine Learning

    Sep 14, 2026Renat Sergazinov, Artem Chistyakov, Sergey Pankevich +1Tabular LearningLarge Language Model Agents

  10. Distilling Foundation Models for Agentic What-If Reasoning:Cost, Latency, and Governance in a Hybrid LLM+SLM Architecture

    Sep 14, 2026Sourish Dey, Aditya KumarTabular Foundation ModelsAgentic Reasoning

  11. TEAR: Table Extraction with Attribute Recommendation from Texts via Large Language Models

    Sep 14, 2026Tong Li, Shuye Ding, Jiachuan Wang +4Tabular DataRelation Extraction

  12. The Anatomy and Boundary of Adaptation under Temporal Tabular Shift

    Sep 14, 2026Tianyu Wang, Xi Vincent Wang, Lihui Wang +2Parameter-Efficient AdaptationTabular Foundation Models

  13. InRTL: Effective Intra-Inter Interaction Learning for Relational Tables

    Sep 14, 2026Weichen Li, Ken Zhong, Zheng Wang +2Relational Deep LearningRelational

  14. Attention Quantization for Tabular Foundation Models

    Sep 14, 2026Jonas M. Kübler, Benjamin Jäger, Klemens Flöge +2Tabular Foundation ModelsKey-Value Cache Quantization

  15. Target leakage, not model class, explains reported accuracy in survey-based cardiovascular screening: a leakage-tiered audit of glass-box and tabular foundation models

    Sep 11, 2026Raad Bin Tareaf, Murad Al-Rajab, Samia Loucif +2Area Under The Receiver Operating Characteristic CurveCardiometabolic Risk

  16. Hierarchical and Permutation-Invariant Feature Transformation Learning via Policy-Guided Embedding Search

    Sep 9, 2026Rui Liu, Tao Zhe, Yanyong Huang +5Tabular LearningSoftmax Attention

  17. Adversarial Training for Tabular Credit Scoring: A Multi-Attack Robustness Evaluation in P2P Lending

    Sep 9, 2026Gijs A. F. Niewzwaag, Marijn G. S. Veth, Manuele Massei +1Adversarial TrainingCredit Risk Prediction

  18. Enhancing Table Structure Recognition via Bounding Box Guidance

    Sep 8, 2026Lei Hu, Shuangping HuangTabular DataBounding Box

  19. EMBLEM: Enhancing Multi-script Table Detection through Masking

    Sep 8, 2026Dhruv Kudale, Udhay Brahmi, Ganesh RamakrishnanOptical Character RecognitionLatin

  20. Streaming Hierarchical Inference with Tabular Foundation Models

    Sep 7, 2026Vitor Crista, Afonso Lourenço, Diogo Martinho +1Tabular Foundation ModelsProbabilistic Inference

  21. DeepTable: Structural Attention Biases and Tree Path Encoding for Hierarchical Table Understanding

    Sep 7, 2026Jyun-Ying Yen, Cheng-Kuan Lin, Yu-Chee TsengTabular Data

  22. Open Tabular Insight Extraction: Where Do We Stand, and Where Should We Go?

    Sep 7, 2026Daniel Gomm, Maarten de Rijke, Madelon HulsebosTabular DataData Lakes

  23. TabBench-Bio: A Living Benchmark for Machine Learning on High-Dimensional Biomedical Tables

    Sep 7, 2026Jules Kreuer, Sofiane Ouaari, Julia Hellmig +2Tabular LearningMachine Learning

  24. Xiaomi-TabLDM: A Tabular Foundation Model Technical Report

    Sep 3, 2026Xiaomi-TabLDM Team, :, Penghui Wang +10Tabular Foundation ModelsModel Pretraining

  25. TabScope: Question-Adaptive Scope Selection for Table Question Answering

    Sep 3, 2026Yuxiang Wang, Junhao Gan, Jianzhong QiTabular Data

  26. Scaling Laws, Tabular Data and Actuarial Ratemaking Models

    Sep 2, 2026Ronald RichmanActuarial Reasoning TasksScaling Laws

  27. Solving In-Table Prediction Problems by Deep Neural Networks with Performance Evaluation Using Synthetic Data

    Sep 1, 2026Xiao Zhao, Daniela OelkeTabular LearningTabular Data

  28. Fractal dimension predicts quantum kernel collapse in angle-encoded data

    Aug 31, 2026Ana Paula AppelQuantum KernelsQuantum Computing

  29. Context Window Failures in Relational Foundation Models

    Aug 31, 2026Denis Oliveira Correa, Francisco Galuppo AzevedoRelationalTabular Foundation Models

  30. TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification

    Aug 31, 2026Jérémie Stym-Popper, Clément Rambour, Federica Granese +2Physiological DataElectronic Health Record Foundation Models

  31. Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models?

    Aug 31, 2026Arkadiusz Lipiecki, Rafał WeronElectricity Price ForecastingLlm-Based Forecasting Methods

  32. Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

    Aug 31, 2026Raunak Kumar, Anuj Pal, Dhruvi Solanki +3Cyclic PeptidesBacterial Colony Counting

  33. Creation begins with understanding: LLMs as strategy designers for privacy-preserving tabular data synthesis

    Aug 30, 2026Jinmeng Li, Quan Zhang, Hangting Ye +4Synthetic Tabular DataSynthetic Data

  34. Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine Learning

    Aug 28, 2026Sejong OhXaiFeature Importance

  35. Advancing Open and Reproducible Relational Learning: RelArena-α, TabPFN-Rel and RPI

    Aug 17, 2026Adrian Hayler, Klemens Flöge, Alan Arazi +44Relational Deep LearningBenchmark Datasets

  36. TabSOM: A tabular-to-image encoding method based on self-organizing maps

    Aug 13, 2026David Chushig-Muzo, María Ángeles Rodríguez de Cara, Eva Milara +3Tabular LearningModel Interpretability

  37. Balanced Adaptive Prototype Selection for Scalable TabPFN Inference on Large-Scale Tabular Data

    Aug 13, 2026Mahboobe Jadid, Melika Rezaye Garkani, Ali MousaviTabular Foundation ModelsTabular Prior-Data Fitted Network

  38. AutoGrable: What Is a Good Graph for a Table?

    Aug 11, 2026Tamara Cucumides, Floris GeertsGraph RepresentationsTabular Data

  39. TACTICL: Task-Aware Compression of Tabular ICL Models

    Aug 11, 2026Mykhailo Koshil, Matthias Feurer, Katharina EggenspergerTabular Foundation ModelsContext Compression

  40. Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training

    Aug 11, 2026Yingsheng Liu, Haiming Li, Jingmin Zhu +6Multimodal Clinical DataTabular Learning

  41. FormStruct-Bench:A Hierarchical and Diagnostic Benchmark for Table-Form Document Structure Recognition

    Aug 11, 2026Lujie Ban, Jiangtao Zhu, Yuanheng Yu +2Tabular DataDiagnostic Benchmark

  42. From Diagnosis to Correction: Benchmarking and Improving Real-World Table Parsing

    Aug 10, 2026Jutao Xiao, Yuan Qu, Dongsheng Ma +7Tabular DataDiagnostic Benchmark

  43. In-Context Density Estimation for Tabular Data

    Aug 10, 2026Patryk Marszałek, Jacek Tabor, Marek ŚmiejaDensity Ratio EstimationTabular Learning

  44. Tabular Numeric Stretch Transformation

    Aug 10, 2026Zihao Ye, Juyong Kim, Johnna Sundberg +2Tabular LearningUnsupervised

  45. Smart Compaction: Predicting Compaction Utility from Lakehouse Table Metadata

    Aug 9, 2026Jannic Cutura, Subash PrakashCompactionData Lakes

  46. Beyond Tables: Doc2DB-Bench for Relationally Faithful Document-to-Database Construction

    Aug 9, 2026Zhuowen Liang, Zhengxuan Zhang, Jiayang Wang +2Tabular DataSpreadsheets

  47. PATH: Next-Interval Prediction via Autoregressive Tree Hierarchy on Tabular Data

    Aug 8, 2026Pengxiang Cai, Wanchen Lian, Chenyang Liu +4Conformal PredictionClinical Prediction

  48. Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models

    Aug 8, 2026Jianqi Zhang, Xingyu Zhang, Zeen Song +3Time Series Foundation ModelsReinforcement Learning Post-Training

  49. GRACE: LLM-Grounded Semantic Metric Spaces for Scalable Mixed-Data Clustering

    Aug 8, 2026Zihua Yang, Zhencheng Xie, Junyang Chen +4Cluster StructureTabular Learning

  50. Bootstrap-Conditioned Action Selection with Tabular Foundation Models

    Aug 6, 2026Devansh Gupta, Shiv Tavker, Dmitry Efimov +3Linear Contextual BanditsIn-Context Learning

  51. SkillTFM: Gated Skill Evolution for Training-Free Adaptation of Tabular Foundation Models

    Aug 6, 2026Yi He, Zhengkang Guan, Anpeng Wu +3Tabular Foundation ModelsTabular Learning

  52. Do Tabular Foundation Models Agree with Themselves?

    Aug 6, 2026Christian Klötergens, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme +1Tabular Foundation ModelsPosterior

  53. Evaluating Machine Learning Models for Post-Wildfire Debris-Flow Prediction

    Aug 5, 2026Quinn Ledingham, Zhengsen Xu, Yimin Zhu +6Wildfire PredictionAccurate Flood Prediction

  54. EdgeLM: Edge Demonstrations for Language Models' Table Understanding

    Aug 5, 2026Soroush Omidvartehrani, Mohammadamin Habibollah, Mohammadreza Daviran +1Tabular DataRetrievers

  55. iStructTab: Structured Feature Sequencing for Multimodal Learning of Image and Tabular Data

    Aug 5, 2026Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna Gyawali +2Rotation-Invariant DescriptorsTabular Data

  56. TS2TabPFN: Time Series Classification and Extrinsic Regression through Feature Extraction and a Tabular Foundation Model

    Aug 4, 2026Gabriel da Costa Merlin, Diego Furtado SilvaTime-Series ClassificationTabular Prior-Data Fitted Network

  57. Monte Carlo Tree Search for Table-to-Multimodal Report Generation

    Aug 4, 2026Teng Lin, Zhiyang Zhang, Yuyu Luo +1ReportMultimodal Generation

  58. Enhancing Tabular Learners with Context-Aware Semantic Embeddings

    Aug 4, 2026Günther Schindler, Maximilian Schambach, Johannes HöhneTabular LearningGlobal Embeddings

  59. NOMADD: Numerical Optimization of Models Adapting to Data Drift

    Aug 3, 2026Swapn Shah, Keith BurghardtTabular Prior-Data Fitted NetworkTabular Learning

  60. Why Large Language Models Fail at Tabular Prediction

    Aug 3, 2026Marta Garnelo, Wojciech M. CzarneckiLarge Language Model PerformanceTabular Data