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14 papers in the last four weeks, up 27% on the four weeks before. 0.1% of all new papers.

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  1. RelICL: Training-free Relational Learning with Tabular Foundation Models

    Oct 1, 2026Simon Forbat, Rainer GemullaRelational Deep LearningRelational Databases

    Data and Web Science Group University of Mannheim Mannheim, Germany

  2. MIND: Marginal-Invariant Neural Dependency Diffusion for Mixed-Type Tabular Generation

    Sep 30, 2026Pengfei Li, Mohammad KhalilTabular DataTemporal Dependence

    Centre for the Science of Learning & Technology (SLATE), University of Bergen, Bergen, Norway

  3. CDMD: A Cross-Dataset Mixed-Type Diffusion Model for Tabular Data

    Sep 30, 2026Mohamed Amine Ketata, Maximilian Schambach, Stephan GünnemannSynthetic Tabular DataTabular Data

    Munich Data Science Institute, Technical University of Munich, Germany · SAP SE, Germany

  4. Synthesis Without Training: An Inference-Only Pipeline for Tabular, Temporal, and Relational Synthetic Data

    Sep 29, 2026Zilong Zhao, Abdul Raheem, Jiayu Li +5Synthetic Tabular DataSynthetic Data

    Betterdata AI · National University of Singapore · University of Illinois Urbana-Champaign +1

  5. Discovery-Driven Integration of Disjoint Tables via Text

    Sep 22, 2026Md Ataur Rahman, Dimitris Sacharidis, Oscar Romero +1Data LakesTabular Data

    UPC, BarcelonaTech Barcelona, Spain · Université Libre de Bruxelles Brussels, Belgium

  6. ArticleMiner: Ontology-Guided Knowledge Graph Construction from Scientific Publications

    Sep 22, 2026Md Abrar Jahin, Craig A. Knoblock, Jay PujaraKnowledge GraphsTabular Data

    USC Information Sciences Institute, Marina del Rey, CA 90292, USA · Thomas Lord Department of Computer Science, University of Southern California, Los Angeles, CA 90089, USA

  7. From Tables to Quantified Statements: Evaluating LLM Inference Generation through Executable Verification

    Sep 21, 2026Mai Mohamed Eida, Gunjan Anand, Ayush Singh +1Natural Language InferenceLLM Inference Optimization

    University of Illinois Urbana Champaign

  8. Physics-residual machine learning predicts oxygen-evolution catalyst activity beyond the training range from sparse polarization measurements

    Sep 20, 2026Yong-Woon Kim, Jihyeok Lee, Sungtae Park +2ScreeningCandidate

    Department of Computer Engineering, Jeju National University, Jeju 63243, South Korea · Green Hydrogen Global Leading Research Center, Jeju National University, Jeju 63243, South Korea · Faculty of Applied Energy System, Jeju National University, Jeju 63243, South Korea +2

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

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

    School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, Shanghai, China

  10. 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 +3BiomarkerClinical Prediction

    Worcester Polytechnic Institute, Worcester, MA, USA · Facultad de Ingenier´ıa El´ectrica, Universidad Tecnol´ogica de Panam´a, Panam´a, Panam´a · Centro de Vacunaci´on e Investigaci´on (CEVAXIN), Panam´a, Panam´a +3

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

    Sep 15, 2026Jahanvi Rajput, Dhruv Kudale, Saikiran Kasturi +2Tabular DataQuestion-Answering Benchmarks

    Indian Institute of Technology Bombay · IIT Bombay · BharatGen

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

    Sep 14, 2026Weichen Li, Ken Zhong, Zheng Wang +2Relational DatabasesTabular Data

    Shanghai Jiao Tong University Shanghai, China

  13. Enhancing Table Structure Recognition via Bounding Box Guidance

    Sep 8, 2026Lei Hu, Shuangping HuangTabular Data

    South China University of Technology, Guangzhou, China

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

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

    Department of Computer Science National Yang Ming Chiao Tung University, Taiwan

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

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

    The University of Melbourne

  16. Scaling Laws, Tabular Data and Actuarial Ratemaking Models

    Sep 2, 2026Ronald RichmanActuarial RatemakingScaling Laws

    insureai and Bayes Business School, Johannesburg, South Africa

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

    Sep 1, 2026Xiao Zhao, Daniela OelkeTabular LearningTabular Data

    Institute for Machine Learning and Analytics Offenburg University · Department of Electrical Engineering, Medical Engineering and Computer Science Offenburg University

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

    Aug 31, 2026Ana Paula AppelQuantum KernelsFractal Dimension

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

    Aug 31, 2026Raunak Kumar, Anuj Pal, Dhruvi Solanki +3Antimicrobial PeptideMulti-Label Classification

    Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India · Department of Bioengineering, Indian Institute of Science, Bengaluru 560012, Karnataka, India · Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667,2026 Uttarakhand, India +1

  20. 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

    School of Artificial Intelligence, Jilin University, Changchun, China · Broad College of Business, Michigan State University, East Lansing, USA · Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia +2

  21. 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

    Department of Computer Engineering Ne. C., Islamic Azad University Neyshabur, Iran

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

    Aug 11, 2026Tamara Cucumides, Floris GeertsTabular DataMessage Passing Neural Networks

    University of Antwerp

  23. 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

    Faculty of Information Technology, Monash University, Melbourne, Australia · Monash University, Melbourne, Victoria, Australia · The University of Queensland, Brisbane, Queensland, Australia

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

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

    Zhejiang University · Shanghai Artificial Intelligence Laboratory · 1Zhejiang University, 2Shanghai Artificial Intelligence Laboratory +3

  25. In-Context Density Estimation for Tabular Data

    Aug 10, 2026Patryk Marszałek, Jacek Tabor, Marek ŚmiejaDensity Ratio EstimationOut-Of-Distribution Detection

    Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland

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

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

    1The Hong Kong University of Science and Technology (Guangzhou)

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

    Aug 8, 2026Pengxiang Cai, Wanchen Lian, Chenyang Liu +4Online Conformal PredictionTabular Data

    The Hong Kong University of Science and Technology (Guangzhou) · Ant Group

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

    Aug 8, 2026Zihua Yang, Zhencheng Xie, Junyang Chen +4ClusteringCluster

    Guangdong University of Technology · Tsinghua University · Peking University +2

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

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

    University of Alberta, Canada

  30. 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 Data

    Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA · Scientific Computing and Imaging Institute & Department of Biomedical Informatics, The University of Utah, Salt Lake City, UT 84112, USA

  31. Why Large Language Models Fail at Tabular Prediction

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

    Fundamental Technologies

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

    Aug 3, 2026Zijian Shen, Taijie Chen, Bin Zhou +2Synthetic Tabular DataTabular Data

    Department of Civil Engineering, The University of Hong Kong

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

    Aug 2, 2026Mayank Sharma, Rohit Kumar Mourya, Pratik MazumderStable Test-Time AdaptationTest-Time Adaptation

    Indian Institute of Technology Jodhpur, Jodhpur, India

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

    Jul 31, 2026Pulock Das, Yina Hou, Md. Kamrozzaman Bhuiyan +1Imbalanced ClassificationClustering

    Department of Computer Science Tennessee State University Nashville, TN, USA · Enosis Solutions Dhaka, Bangladesh · Department of Computer Science North Carolina A&T State University Greensboro, NC, USA

  35. 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 SesterhennTime Series Foundation ModelsSequence Modeling

    University of Mannheim, Mannheim, Germany · SAP Signavio, Walldorf, Germany · Technical University of Clausthal, Clausthal, Germany

  36. Understanding Context Sampling in TabPFN on Small Tabular Datasets

    Jul 29, 2026Mohammed AbdullahTabular LearningTabular Prior-Data Fitted Network

    Department of AI & Data Science Anna University

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

    Jul 28, 2026Fanfu Wei, Thibault Ehrhart, Raphaël TroncyKnowledge GraphsCross-Modal Conflicts

    EURECOM, France

  38. TabRank: Chain-of-Thought Distillation for Table Re-Rankers

    Jul 28, 2026Adarsh Singh, Kushal Raj Bhandari, Jianxi Gao +2Cross-Encoder RerankingReranking

    1Arizona State University · 2Rensselaer Polytechnic Institute · 3Scale AI

  39. Logit-Coordinate Generative Models for Mixed Continuous-Categorical Tabular Data

    Jul 25, 2026Yuefei Shen, Xiaotong ShenMixture ModelsLogit Lens

    School of Statistics, University of Minnesota

  40. Scaling Laws for Classical Machine Learning on Tabular Data: A Benchmark Study

    Jul 23, 2026Kaihua DingTabular LearningScaling Laws

    University of Pennsylvania

  41. CURED: Creating, Understanding, and Repairing Errors Demonstrator

    Jul 22, 2026Nicholas Chandler, Sebastian Jäger, Philipp Jung +1Tabular DataCreativity

    1Berliner Hochschule für Technik · 2Einstein Center Digital Future

  42. Semantically Similar, Yet Not Answerable: Diagnosing the Semantic-Answerability Gap in Table RAG

    Jul 20, 2026Jiaming Tian, Liyao Li, Wentao Ye +6Hievi-RagTabular Data

    Zhejiang University · Bank of Hangzhou Co., Ltd. · Zhejiang Lab

  43. Gold-Guided Programmatic Distillation for Financial Reasoning over Hybrid Tables and Text

    Jul 16, 2026Yun Dong, Erica Zhao, Elana ChenFinancial Question AnsweringFree-Form Textual Rationales

    College of Computing · Georgia Institute of Technology · Department of Management Science & Engineering +2

  44. Evaluation Ability Does Not Imply Optimization Utility: LLM-as-a-Judge Signals in Closed-Loop Table Recognition

    Jul 15, 2026Donghwan KimLlm-As-A-JudgeFeedback

    Aidentyx Inc., San Jose, CA, USA

  45. Finding the Right Tables and Columns: A Benchmark and Corpus-Adaptive Embeddings for SQL Schema Retrieval

    Jul 14, 2026Qingcheng Zeng, Puxuan Yu, Aman Mehta +2Text-To-SqlSchema

    Northwestern University · Snowflake Inc.

  46. DAG-FM: A Foundation Model for Causal Discovery under Heterogeneous Causal Mechanisms

    Jul 13, 2026Yikang Chen, Zhengkang Guan, Haoyuan Qian +3Causal Discovery MethodsCausal Modeling

    1Zhejiang University · 2Tsinghua University

  47. TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings

    Jul 13, 2026Jingxiang Zhang, Lujia Zhong, Zijie Zhu +2Multimodal ClassificationMultimodal Embeddings

    University of Southern California

  48. Observation-Level Watermarking and Detection for Tabular Data

    Jul 12, 2026Dongyu Cui, Xuan BiWatermarksTabular Data

    School of Statistics, University of Minnesota · Carlson School of Management, University of Minnesota

  49. TabLoRA: Parameter-Efficient Low-Rank Ensemble Learning for Large-Scale Tabular Data

    Jul 11, 2026Jiaqi Luo, Shixin XuTabular LearningGradient Boosted Decision Tree

    School of Mathematical Sciences, Soochow University, No.1 Shizi Street, Suzhou, 215006, Jiangsu Province, China · Digital innovation research center, Duke Kunshan University, No.8 Duke Avenue, Kunshan, 215000, Jiangsu Province, China

  50. The Importance of Encoder Choice:A Tabular-Image Study

    Jul 8, 2026Ilia Koloiarov, Diego Coello de Portugal Mecke, Vijaya Krishna Yalavarthi +2Multimodal LearningEncoders

    ISMLL & VWFS DARC · University of Hildesheim · Hildesheim, Germany +1

  51. Complexity-Budgeted, Interaction-Aware Interpretable Model for Tabular Data

    Jul 8, 2026Srikumar KrishnamoorthyFeature ImportanceInterpretability

    Information Systems Area, Indian Institute of Management Ahmedabad, India

  52. TabQueryBench: A Query-Centric Benchmark for Synthetic Tabular Data

    Jul 4, 2026Jialin Zhang, Fenghao Dong, Yajie Zhou +2Synthetic Tabular DataTabular Data

    †University of Hong Kong ¶Tongji University · ‡Carnegie Mellon University · §University of Maryland, College Park

  53. Alignment-Guided Largest Table Overlap Size Estimation

    Jul 3, 2026Ge Lee, Shixun Huang, Zhifeng Bao +2Tabular DataRetrieval Layer

    RMIT University · The University of Queensland · University of Wollongong +1

  54. Modal CEGAR-tableaux with RECAR and resolution-based SAT-shortcuts

    Jun 30, 2026Rajeev Goré, Cormac KikkertSatisfiabilityTheorem Proving

    Faculty of Information Technology, Monash University, Australia · Cormac Kikkert Research

  55. Exploring Differences Between Tabular Enterprise Data and Public Benchmarks

    Jun 29, 2026Myung Jun Kim, Maximilian Schambach, Frank Essenberger +2Tabular DataBenchmark Datasets

    SAP SE, Germany.

  56. FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks

    Jun 29, 2026Marek Polewczyk, Maximilian Schambach, Marco Spinaci +2Tabular LearningTabular Data

    1SAP SE · 2SAP France

  57. Hierarchical Reinforcement Learning in StarCraft Micromanagement with Influence Maps and Cluster-based Scripts

    Jun 29, 2026Chunhui Bai, Changhe Li, Dequan Li +2Hierarchical Reinforcement LearningReinforcement Learning Baseline

    School of Artificial Intelligence and Automation, China University of Geosciences, Wuhan 430074, China · State Key Laboratory of Digital Intelligent Technology for Unmanned Coal Mining, Anhui University of Science & Technology, Huainan 232001, China · School of Artificial Intelligence, Anhui University of Science & Technology, Hefei 231131, China +1

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

    Jun 26, 2026Hira Beril Kucuk, Norman W Paton, Jiaoyan Chen +1Global-Local Fusion FrameworkUncertainty-Aware Fusion

    Department of Computer Science University of Manchester, Oxford Road, Manchester M13 9PL, UK

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

    Jun 26, 2026Yanuo Ma, Ben Kereopa-Yorke, Ben SchultzTest GenerationCoding Agents

    Microsoft

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

    Jun 19, 2026Ting Cai, Rakesh R. Menon, Yiru Chen +8Tabular DataInformation Extraction

    University of Wisconsin-Madison · Adobe · Purdue University