Tabular Data

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Period ending 2026-09-21

12 new papers

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  1. Towards Evaluating Data Priors for Tabular Foundation Models

    Jun 28, 2026Zeynep Türkmen, Kürşat Kaya, Alexander Pfefferle +1Tabular Foundation ModelsPrior Knowledge

  2. Statistically Indistinguishable, Operationally Distinct: A Formal Barrier for Tabular Foundation Models

    Jun 27, 2026Tassilo Klein, Johannes HoffartTabular Foundation ModelsCounter Turing Test

  3. Single and Multi Truth Data Fusion using Large Language Models

    Jun 26, 2026Hira Beril Kucuk, Norman W Paton, Jiaoyan Chen +1Temporal Fusion TransformerTabular Data

  4. Building to the Test: Coding Agents Deliver What You Check, Not What You Requested

    Jun 26, 2026Yanuo Ma, Ben Kereopa-Yorke, Ben SchultzCoding AgentsSelf-Awareness

  5. A Causal Foundation Model for Structure and Outcome Prediction

    Jun 25, 2026Max Zhu, Martino Mansoldo, Ching-Hao Wang +1Causal Foundation ModelsCausal Reasoning

  6. Privacy Vulnerabilities of Attention Layers in Tabular Foundation Models and Protection of High-Risk Queries

    Jun 24, 2026Tânia Carvalho, Maxime CordyTabular Foundation ModelsMembership Inference Attacks

  7. Manifold Constrained Tabular Deep Neural Networks

    Jun 23, 2026Tian Li, Lucy Robinson, Varun Ojha +1Tabular LearningHyperbolic Learning

  8. Are Tabular Foundation Models Robust to Realistic Query Distribution Shifts in Microbiome Data?

    Jun 23, 2026Giulia Perciballi, Ahmad Fall, Federica Granese +2Tabular Foundation ModelsBacterial Colony Counting

  9. A Fair Evaluation of Graph Foundation Models for Node Property Prediction

    Jun 23, 2026Oleg Platonov, Gleb Bazhenov, Dmitry Eremeev +1Graph Foundation ModelGraph Neural Networks

  10. Evolving from Lessons: Skill-Augmented Table Graph Reasoning for Operation-wise Table Question Answering

    Jun 20, 2026Guixin Su, Qiankun Pi, Mayi Xu +5Tabular DataReasoning Graphs

  11. A Causal DAG Prior for Synthetic Time-Series Classification Datasets

    Jun 19, 2026Franco Martino O'Rourke, Ana Trisovic, Dimitris BertsimasTabular Prior-Data Fitted NetworkSynthetic Time Series

  12. TACO: Task-Aware Column Description Generation Using LLMs

    Jun 19, 2026Ting Cai, Rakesh R. Menon, Yiru Chen +8Tabular DataText-To-Sql

  13. DCD-PFN: A Decoupling-Aware Foundation Model for Causal Discovery

    Jun 19, 2026Zhengkang Guan, Yikang Chen, Yi He +5Causal Foundation ModelsCausal Graph

  14. Temporal Causal Prior-Data Fitted Networks for Panel Data with Learned Reliability Signals

    Jun 18, 2026Shravan Talupula, Saurabh SharmaCausal Foundation ModelsTabular Prior-Data Fitted Network

  15. Understanding Latent Flow Models for Tabular Data Synthesis: Targets, Paths, and Sampling

    Jun 18, 2026Bahrul Ilmi NasutionSynthetic Tabular DataGenerative Flow Networks

  16. DataMagic: Transforming Tabular Data into Data Insight Video

    Jun 18, 2026Yupeng Xie, Chen Ma, Zhenyang Wang +6Visual AnalyticsVideos

  17. When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning

    Jun 18, 2026Daehwan Kim, Haejun Chung, Ikbeom JangTabular LearningSelf-Supervised

  18. Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting

    Jun 17, 2026Alireza Jafari, Judy Fox, Geoffrey C. Fox +2Time Series Foundation ModelsEpidemic Forecasting

  19. Reinforcement Learning Foundation Models Should Already Be A Thing

    Jun 17, 2026Abdelrahman Zighem, Jill-Jênn VieTabular Foundation ModelsWireless Foundation Models

  20. Rethinking the Pointer Loss in Table Structure Recognition: Geometry-Aware Pointer Loss for Spatial Locality

    Jun 17, 2026Hong-Jun Choi, Jongho Lee, Jaeyoung KimTabular DataGeometry-Aware

  21. Bounded Context Management for Tabular Foundation Models on Stream Learning

    Jun 17, 2026Jinmo Lee, Doyun Choi, Moongi Choi +1Tabular Foundation ModelsTabular Learning

  22. Revisiting Structural Dependency in Autoregressive Multi-Task Table Recognition via Order-Independent Cell-Level Representations

    Jun 16, 2026Takaya KawakatsuTabular LearningMulti--Task Learning

  23. PHINN: Persistent Homology Inspired Neural Network for Rare-Event Time Series Generation

    Jun 13, 2026Emre Yusuf, Ren Takahashi, Jayabrata BhaduriSynthetic Time SeriesGenerative Models

  24. LLMs on Tabular Data with Limited Semantics: Evidence from Industrial Car Retrofit Prediction

    Jun 13, 2026Aina Vila Pons, Ioannis Tzachristas, Constantinos AntoniouTabular DataPredictive Maintenance

  25. Where Computation Lives Inside TabPFN: Causal Localisation of Attention Head Function

    Jun 11, 2026Atharva Gupta, Dhruv Kumar, Murari Mandal +1Tabular Foundation ModelsTabpfn

  26. Tabular Foundation Models for Clinical Survival Analysis via Survival-Aware Adaptation

    Jun 10, 2026Minh-Khoi Pham, Luca Cotugno, Alina Sirbu +3Survival PredictionsSurvival Analysis

  27. Parameter-Efficient Adapter Tuning for Tabular-Image Multimodal Learning

    Jun 10, 2026Jiaqi LuoTabular LearningTabular Data

  28. TAROT: Task-Adaptive Refinement of LLM-prior Graphs for Few-shot Tabular Learning

    Jun 10, 2026Ruxue Shi, Yili Wang, Mengnan Du +3Tabular LearningGraph Neural Networks

  29. CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching

    Jun 9, 2026Jamie Heredge, Mattia J. Villani, Pranav Deshpande +2Tabular Prior-Data Fitted NetworkIn-Context Learning

  30. Bridging the sim2real gap in the table tennis robot with a transformer-based ball states predictor

    Jun 9, 2026Yin Bi, Christian Conti, Bilan Yang +3Table Tennis RobotZero-Shot Sim-To-Real Transfer

  31. TABVERSE: Benchmarking Cross-Format Table Understanding in LLMs and VLMs

    Jun 8, 2026Momina Ahsan, Sarfraz Ahmad, Ming Shan Hee +2Tabular DataRepresentation Quality

  32. TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders

    Jun 8, 2026Wei Pang, Xiangru Jian, Hehan Li +10Tabular LearningEncoding Models

  33. BSTabDiff: Block-Subunit Diffusion Priors for High-Dimensional Tabular Data Generation

    Jun 8, 2026Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna Gyawali +2Synthetic Tabular DataDiffusion Priors

  34. SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC)

    Jun 6, 2026Steven Golob, Sikha Pentyala, Martine De CockSynthetic Tabular DataPrivacy-Preserving Framework

  35. TLRD: Teaching LLMs to Reason over Tabular Data with Tri-Level Rationale Distillation

    Jun 6, 2026Tianyuan Liang, Xuwei Tan, Lei Shi +6Table Reasoning DatasetsLarge Language Model Reasoning

  36. Differentially Private Synthetic Data via APIs 4: Tabular Data

    Jun 6, 2026Toan Tran, Arturs Backurs, Zinan Lin +3Synthetic Tabular DataDifferential Privacy

  37. RACT: Retrieval Augmented Column-Table Learning and Prediction for Multi-Table Schema Matching

    Jun 5, 2026Leonard Traeger, Enas Khwaileh, Andreas Behrend +1SchemaTabular Learning

  38. TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention

    Jun 5, 2026Si-Yang Liu, Han-Jia YeTabular Foundation ModelsTabular Prior-Data Fitted Network

  39. Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors

    Jun 5, 2026Tao Chen, Yexu Zhou, Zhi Gong +9Time SeriesTabular Prior-Data Fitted Network

  40. Bias in Filter Feature Selection Evaluation: A Meta-Analysis of Datasets, Baselines, and Experimental Design Choices

    Jun 5, 2026Malick Ebiele, Malika Bendechache, Rob BrennanFeature SelectionFalse Discovery Rate

  41. Towards Unified and Data-Efficient Prognostics and Health Management with Tabular Foundation Models

    Jun 3, 2026Raffael Theiler, Lev Telyatnikov, Leandro Von Krannichfeldt +1Predictive MaintenancePrognostics

  42. GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional Data

    Jun 3, 2026Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna Kumar Gyawali +2Tabular Foundation ModelsTabpfn

  43. Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models

    Jun 3, 2026Lipai Huang, Adithi Srinath, Manas Singh +2Accurate Flood PredictionTabular Foundation Models

  44. Towards Pretraining Text Encoders for TabPFN

    Jun 3, 2026Mustafa Tajjar, Alexander Pfefferle, Lennart Purucker +1Tabular Foundation ModelsTabular Prior-Data Fitted Network

  45. SurvPFN: Towards Foundation Models for Survival Predictions

    Jun 3, 2026Samuel Böhm, Lennart Purucker, Frank Hutter +1Survival PredictionsSurvival Analysis

  46. LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models

    Jun 3, 2026Yuanrui Wang, Xingxuan Zhang, Han Yu +7Tabular Foundation ModelsTensor Programs

  47. RowNet: A Memory Transformer for Tabular Regression

    Jun 3, 2026Askat Rakhymbekov, Gulshat MuhametjanovaTabular LearningRetrieval Layer

  48. OpenRFM: Dissecting Relational In-Context Learning

    Jun 3, 2026Zhikai Chen, Junyu Yin, Jialiang Gu +5Relational Deep LearningIn-Context Learning

  49. Staying Alive: Uncensored Survival Analysis with Tabular Foundation Models

    Jun 2, 2026Mariana Vargas VieyraSurvival AnalysisTime-To-Event Data

  50. Speedrunning Tabular Foundation Model Pretraining

    Jun 2, 2026Salih Bora Ozturk, Alexander Pfefferle, Frank HutterTabular Foundation ModelsModel Pretraining

  51. TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks

    Jun 1, 2026Andrej Tschalzev, Nick Erickson, Yuyang Wang +4Tabular LearningFeature Engineering

  52. When Tabular Foundation Models Transfer Across Modalities: A Systematic Evaluation Across 95 Datasets, 7 Modalities, and Two Regimes

    Jun 1, 2026Julien LafranceTabular Foundation Models

  53. LLM-as-a-Discriminator: When Synthetic Tables Still Look Real

    Jun 1, 2026Manel Slokom, Malek Slokom, Thierno KanteSynthetic Tabular DataSynthetic Data

  54. On the Uncertainty Quantification Ability of Tabular Foundation Models

    May 31, 2026Tyler R. Johnson, Kian Ben-Jacob, Nima Negarandeh +2Tabular Prior-Data Fitted NetworkReliable Uncertainty Quantification

  55. HakushoBench: A Japanese Chart and Table VQA Benchmark from Governmental White Papers

    May 31, 2026Issa Sugiura, Shuhei Kurita, Yusuke Oda +1ChartTabular Data

  56. Images as Tables: In-Context Learning with TabPFN for Low-Data Detection of AI-Generated Images

    May 30, 2026Jan Philip Walter, Shashank Agnihotri, Margret KeuperAi-Generated Image DetectionDinov3

  57. TabChange: Precise Attribute Changes in Tabular Data

    May 30, 2026Arjun Dahal, Yu Lei, Raghu N. Kacker +1Synthetic Tabular DataCounterfactual Learning

  58. Semantic Triplet Restoration: A Novel Protocol for Hierarchical Table Understanding in Large Language Models

    May 29, 2026Yibin Zhao, Fangxin Shang, Dingrui Yang +1Tabular DataRdf

  59. Algorithmic Recourse of In-Context Learning for Tabular Data

    May 29, 2026Wenshuo Dong, Jiaming Zhang, Shaopeng Fu +3Tabular LearningIn-Context Learning

  60. Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity

    May 29, 2026Jun Tan, Qing Guo, Zicheng Xu +3Counterfactual ExplanationDensity Ratio Estimation