{"total":18,"rows":[{"id":"2410.18164","title":"TabDPT: Scaling Tabular Foundation Models on Real Data","created":"2024-10-23","cited_by_count":113,"area":null},{"id":"2405.01147","title":"Why Tabular Foundation Models Should Be a Research Priority","created":"2024-05-02","cited_by_count":106,"area":null},{"id":"2510.21204","title":"Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models","created":"2025-10-24","cited_by_count":77,"area":null},{"id":"2307.08674","title":"TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT","created":"2023-07-17","cited_by_count":59,"area":null},{"id":"2403.01841","title":"Making Pre-trained Language Models Great on Tabular Prediction","created":"2024-03-04","cited_by_count":57,"area":null},{"id":"2504.16109","title":"Representation Learning for Tabular Data: A Comprehensive Survey","created":"2025-04-17","cited_by_count":36,"area":null},{"id":"2502.04573","title":"Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer","created":"2025-02-06","cited_by_count":8,"area":null},{"id":"2512.00947","title":"Table as a Modality for Large Language Models","created":"2025-11-30","cited_by_count":7,"area":null},{"id":"2311.07343","title":"Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning","created":"2023-11-13","cited_by_count":6,"area":null},{"id":"2406.01805","title":"TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting","created":"2024-06-03","cited_by_count":5,"area":null},{"id":"2310.16837","title":"RDBench: ML Benchmark for Relational Databases","created":"2023-10-25","cited_by_count":3,"area":null},{"id":"2511.06161","title":"LATTLE: LLM Attention Transplant for Transfer Learning of Tabular Data Across Disparate Domains","created":"2025-11-08","cited_by_count":2,"area":null},{"id":"2410.00022","title":"TREB: a BERT attempt for imputing tabular data imputation","created":"2024-09-16","cited_by_count":1,"area":null},{"id":"2603.13308","title":"Task Expansion and Cross Refinement for Open-World Conditional Modeling","created":"2026-03-03","cited_by_count":1,"area":null},{"id":"2606.01890","title":"Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2607.23286","title":"Adaptive Graph-of-Islands Evolution for Automatic Feature Engineering with LLMs","created":"2026-07-25","cited_by_count":0,"area":null},{"id":"2608.28209","title":"Generalized Context in Cross Attention for Transfer Learning of Disjoint Tabular Data","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2609.15871","title":"LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys","created":"2026-09-14","cited_by_count":0,"area":null}],"next_cursor":null}