Tabular Foundation Models

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Period ending 2026-09-14

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

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

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

    Sep 14, 2026Tong Li, Shuye Ding, Jiachuan Wang +4Information ExtractionTable

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

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

  4. Attention Quantization for Tabular Foundation Models

    Sep 14, 2026Jonas M. Kübler, Benjamin Jäger, Klemens Flöge +2Tabular Foundation Models

  5. 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

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

    Sep 9, 2026Rui Liu, Tao Zhe, Yanyong Huang +5Tabular LearningSelf-Attention Mechanism

  7. A Trust-Network-Based Federated Learning Framework for Multi-Center Aging Clock Prediction

    Sep 9, 2026Chunxu Zhang, Bo Li, Wenliang Wang +7Vascular AgeFederated Learning Framework

  8. Enhancing Table Structure Recognition via Bounding Box Guidance

    Sep 8, 2026Lei Hu, Shuangping HuangTableScene Text Recognition

  9. Streaming Hierarchical Inference with Tabular Foundation Models

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

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

    Sep 7, 2026Jyun-Ying Yen, Cheng-Kuan Lin, Yu-Chee TsengTableRetrieval Benchmarks

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

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

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

    Sep 3, 2026Xiaomi-TabLDM Team, :, Penghui Wang +10Tabular Foundation ModelsPredictive Performance

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

    Sep 3, 2026Yuxiang Wang, Junhao Gan, Jianzhong QiTableQuestion

  14. Scaling Laws, Tabular Data and Actuarial Ratemaking Models

    Sep 2, 2026Ronald RichmanActuarial Reasoning TasksScaling Laws

  15. Relational Task Generation Language: A Declarative Specification Framework for Relational Deep Learning

    Sep 1, 2026Oleksii Kolesnichenko, Jakub Peleška, Gustav ŠírRelationalTable Reasoning Datasets

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

    Sep 1, 2026Xiao Zhao, Daniela OelkeTabular LearningTabular Data

  17. H2Table: Hierarchical Hypergraph-Enhanced Large Language Models for Complex Table Reasoning

    Sep 1, 2026Jia Ling, Yangfan Wang, Chen Tang +4TableMulti-Hop Reasoning

  18. Differentially Private Paired Table-Image Multimodal Synthesis

    Sep 1, 2026Kai Chen, Josephine Lamp, Somesh Jha +1Synthetic Tabular DataMedical Image Generation

  19. Context Window Failures in Relational Foundation Models

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

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

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

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

    Aug 31, 2026Arkadiusz Lipiecki, Rafał WeronEnergy ForecastingTime Series Foundation Models

  22. 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

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

    Aug 28, 2026Sejong OhStructural Causal ModelXai

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

    Aug 17, 2026Adrian Hayler, Klemens Flöge, Alan Arazi +44RelationalTabular Learning

  25. 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 Methods

  26. Incremental Evaluation and Training in Relational Deep Learning

    Aug 13, 2026Jakub Peleška, Gustav ŠírEfficient Continual LearningRelational

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

    Aug 13, 2026Mahboobe Jadid, Melika Rezaye Garkani, Ali MousaviTabular Foundation ModelsTabular Data

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

    Aug 11, 2026Tamara Cucumides, Floris GeertsGraph LearningTable

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

    Aug 11, 2026Mykhailo Koshil, Matthias Feurer, Katharina EggenspergerTabular Foundation ModelsTabular Learning

  30. 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

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

    Aug 10, 2026Jutao Xiao, Yuan Qu, Dongsheng Ma +7Document ParsingTable

  32. In-Context Density Estimation for Tabular Data

    Aug 10, 2026Patryk Marszałek, Jacek Tabor, Marek ŚmiejaRandomized Global-Local Density EstimationUnsupervised Anomaly Detection

  33. Tabular Numeric Stretch Transformation

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

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

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

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

    Aug 8, 2026Pengxiang Cai, Wanchen Lian, Chenyang Liu +4Tabular DataAutoregressive Model

  36. 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

  37. Bootstrap-Conditioned Action Selection with Tabular Foundation Models

    Aug 6, 2026Devansh Gupta, Shiv Tavker, Dmitry Efimov +3In-Context LearningAction Selection

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

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

  39. Do Tabular Foundation Models Agree with Themselves?

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

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

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

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

    Aug 5, 2026Soroush Omidvartehrani, Mohammadamin Habibollah, Mohammadreza Daviran +1TableIn-Context Learning

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

    Aug 5, 2026Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna Gyawali +2Multimodal LearningTabular Learning

  43. 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

  44. A Physics-Flavored Transformer Network for Parametrizing Contraction Dynamics of Engineered Skeletal Muscle Tissues

    Aug 4, 2026Mattias Luber, Timo BetzConventional Physics-Informed Neural NetworksNeural Dynamics

  45. Enhancing Tabular Learners with Context-Aware Semantic Embeddings

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

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

    Aug 3, 2026Swapn Shah, Keith BurghardtState DriftTabular Prior-Data Fitted Network

  47. Why Large Language Models Fail at Tabular Prediction

    Aug 3, 2026Marta Garnelo, Wojciech M. CzarneckiLarge Language Models FailTabular Data

  48. RamanPFN: learning from Raman spectral structure with a tabular foundation model

    Aug 3, 2026Xingyu Pan, Huan Wang, Jinjia Guo +3RamanTabular Prior-Data Fitted Network

  49. LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation

    Aug 3, 2026Zijian Shen, Taijie Chen, Bin Zhou +2Synthetic Tabular DataFew-Shot Learning

  50. TabDPT-Turbo: Efficient In-Context Learning for Tabular Prediction

    Aug 2, 2026Rasa Hosseinzadeh, Alex Labach, Zexin Xue +3Tabular Foundation ModelsIn-Context Learning

  51. Logit-Origin Centering for Singleton Test-Time Adaptation

    Aug 2, 2026Mayank Sharma, Rohit Kumar Mourya, Pratik MazumderTabular LearningTest-Time Adaptation

  52. From field-scale to large-scale spectral libraries: Tabular foundation models in soil spectroscopy

    Aug 1, 2026Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers +1SpectraTabular Foundation Models

  53. Ensemble of Unsupervised Deep Learning for Clustering Imbalanced Tabular Data

    Jul 31, 2026Pulock Das, Yina Hou, Md. Kamrozzaman Bhuiyan +1Extreme Class ImbalanceClustering

  54. Curriculum Matters: Data-Efficient Relational PFN Pretraining with Synthetic Data

    Jul 31, 2026Mohammad Sadeq Abolhasani, Viswanath GanapathyTabular Prior-Data Fitted NetworkRelational

  55. Revisiting Predictive Process Monitoring in the Age of Foundation Models: A Comparative Study of Sequence, Tabular, and LLM Approaches

    Jul 30, 2026Lennart Fertig, Lukas Kirchdorfer, Tobias SesterhennPredictive PerformanceSequence Modeling

  56. Memory Efficient Tabular Foundation Models

    Jul 30, 2026Shuting Luo, Monika Mikhail Kanaan, Cameron Gordon +2Tabular Foundation ModelsTabular Learning

  57. TREA-Net: A Transferable Residual Epidemiological Adaptation Network for Dengue Incidence Forecasting

    Jul 29, 2026Inesh Shukla, Madhurima Panja, Tanujit Chakraborty +1MalariaEpidemic Forecasting

  58. Understanding Context Sampling in TabPFN on Small Tabular Datasets

    Jul 29, 2026Mohammed AbdullahTabular LearningTabular Data

  59. Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models

    Jul 28, 2026Malena Loza, David Chushig-Muzo, Eva Milara +3Tabular Foundation ModelsOut-Of-Distribution

  60. Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs

    Jul 28, 2026Fanfu Wei, Thibault Ehrhart, Raphaël TroncyKnowledge GraphsMultimodal Fact-Checking