Tabular Data

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Period ending 2026-09-21

5 new papers

A weekly snapshot of new work published in Tabular Data.

Period ending 2026-09-07

6 new papers

A weekly snapshot of new work published in Tabular Data.

140 papers

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Building to the Test: Coding Agents Deliver What You Check, Not What You Requested
Jun 26, 2026Yanuo Ma, Ben Kereopa-Yorke, Ben SchultzCoding Agents Self-Awareness
Evolving from Lessons: Skill-Augmented Table Graph Reasoning for Operation-wise Table Question Answering
Jun 20, 2026Guixin Su, Qiankun Pi, Mayi Xu +5Tabular Data Reasoning Graphs
TACO: Task-Aware Column Description Generation Using LLMs
Jun 19, 2026Ting Cai, Rakesh R. Menon, Yiru Chen +8Tabular Data Text-To-Sql
Understanding Latent Flow Models for Tabular Data Synthesis: Targets, Paths, and Sampling
Jun 18, 2026Bahrul Ilmi NasutionSynthetic Tabular Data Generative Flow Networks
DataMagic: Transforming Tabular Data into Data Insight Video
Jun 18, 2026Yupeng Xie, Chen Ma, Zhenyang Wang +6Visual Analytics Videos
Rethinking the Pointer Loss in Table Structure Recognition: Geometry-Aware Pointer Loss for Spatial Locality
Jun 17, 2026Hong-Jun Choi, Jongho Lee, Jaeyoung KimTabular Data Geometry-Aware
Revisiting Structural Dependency in Autoregressive Multi-Task Table Recognition via Order-Independent Cell-Level Representations
Jun 16, 2026Takaya KawakatsuTabular Learning Multi--Task Learning
LLMs on Tabular Data with Limited Semantics: Evidence from Industrial Car Retrofit Prediction
Jun 13, 2026Aina Vila Pons, Ioannis Tzachristas, Constantinos AntoniouTabular Data Predictive Maintenance
Parameter-Efficient Adapter Tuning for Tabular-Image Multimodal Learning
Jun 10, 2026Jiaqi LuoTabular Learning Tabular Data
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 Robot Zero-Shot Sim-To-Real Transfer
TABVERSE: Benchmarking Cross-Format Table Understanding in LLMs and VLMs
Jun 8, 2026Momina Ahsan, Sarfraz Ahmad, Ming Shan Hee +2Tabular Data Representation Quality
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 Data Diffusion Priors
SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC)
Jun 6, 2026Steven Golob, Sikha Pentyala, Martine De CockSynthetic Tabular Data Privacy-Preserving Framework
TLRD: Teaching LLMs to Reason over Tabular Data with Tri-Level Rationale Distillation
Jun 6, 2026Tianyuan Liang, Xuwei Tan, Lei Shi +6Table Reasoning Datasets Large Language Model Reasoning
Differentially Private Synthetic Data via APIs 4: Tabular Data
Jun 6, 2026Toan Tran, Arturs Backurs, Zinan Lin +3Synthetic Tabular Data Differential Privacy
LLM-as-a-Discriminator: When Synthetic Tables Still Look Real
Jun 1, 2026Manel Slokom, Malek Slokom, Thierno KanteSynthetic Tabular Data Synthetic Data
HakushoBench: A Japanese Chart and Table VQA Benchmark from Governmental White Papers
May 31, 2026Issa Sugiura, Shuhei Kurita, Yusuke Oda +1Chart Tabular Data
TabChange: Precise Attribute Changes in Tabular Data
May 30, 2026Arjun Dahal, Yu Lei, Raghu N. Kacker +1Synthetic Tabular Data Counterfactual Learning
Semantic Triplet Restoration: A Novel Protocol for Hierarchical Table Understanding in Large Language Models
May 29, 2026Yibin Zhao, Fangxin Shang, Dingrui Yang +1Tabular Data Rdf
Algorithmic Recourse of In-Context Learning for Tabular Data
May 29, 2026Wenshuo Dong, Jiaming Zhang, Shaopeng Fu +3Tabular Learning In-Context Learning
Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity
May 29, 2026Jun Tan, Qing Guo, Zicheng Xu +3Counterfactual Explanation Density Ratio Estimation
Statistical Embeddings for Similarity, Retrieval, and Interpretable Alignment of Numeric Tabular Datasets
May 28, 2026M. Ross Kunz, John Merickel, Keith WilsonTabular Data Embedding Dimension
Open Problem: Separating Geometric and Algorithmic Compression via Cayley-Table Completion
May 28, 2026Dongsung HuhTensor Completion Optimal Sample Complexity
Open World Autoencoding Drift Detection with Novel Class Recognition in Tabular Non-stationary Data Streams
May 28, 2026Joanna KomorniczakReconstruction-Based Anomaly Detection Unsupervised
PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence
May 27, 2026Haruki Yajima, Yusuke MatsuiDecision Trees Heterogeneous Pruning Scores
Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data
May 26, 2026Tomás Pereira, João Vitorino, Eva Maia +1Explainability Tabular Learning
Self-Ensembling Vision-Language Models for Chart Data Extraction
May 26, 2026Thomas Berkane, Qianyi Wang, Maimuna S. MajumderChart Tabular Data
Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
May 26, 2026Yeonsu Kwon, Jiho Kim, Junseong Choi +10Electronic Health Records Clinical Notes
Context-driven Missing-Modality Learning for Robust Medical Diagnosis with Image-Tabular Data
May 25, 2026Tianling Liu, Lequan Yu, Tong Han +1Multimodal Clinical Data Robust Multimodal Learning
TaBIIC2: Interactive Building of Ontological Taxonomies using Weighted Self-Organizing Maps
May 24, 2026Mathieu d'AquinTaxonomy Image Clustering
Trajectory-Based Difficulty Scoring for Reliable Learning on Tabular Data
May 23, 2026Tomer Lavi, Bracha Shapira, Nadav RappoportGradient Boosted Tree Tabular Data
Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents
May 23, 2026Kaiqiao Han, LuAn Tang, Renliang Sun +6Retrieval-Augmented Generation Systems Graph-Based Retrieval Augmented Generation
ChainzRule: Sample-Efficient, Robust Deep Learning Across Tabular, NLP, and Vision Tasks
May 23, 2026Rowan MartnishnDeep Learning Modernbert
Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees
May 21, 2026Christian Janos Lebeda, David Erb, Tudor Cebere +1Differential Privacy Random Forest
From Residuals to Reasons: LLM-Guided Mechanism Inference from Tabular Data
May 21, 2026Mohammad R. Rezaei, Rahul G. KrishnanIn-Context Learning Tabular Data
Stage-Audit: Auditable Source-Frontier Discovery for Cross-Wiki Tables
May 19, 2026Chen ShenWikipedia Citations
Tiny-Engram: Trigger-Indexed Concept Tables for Generative Vision
May 19, 2026Runyuan Cai, Yiming Wang, Yu Lin +1Visual Generation Visual Memory
When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach
May 19, 2026Xinpeng Lv, Yunxin Mao, Renzhe Xu +13Tabular Foundation Models Tabular Prior-Data Fitted Network
TabH2O: A Unified Foundation Model for Tabular Prediction
May 18, 2026Pascal Pfeiffer, Dmitry Gordeev, Mathias Müller +6Tabular Data Model Pretraining
Efficient Table QA via TableGrid Navigation and Progressive Inference Prompting
May 18, 2026Amritansh Maurya, Navjot Singh, Mohammed Javed +1Tabular Data Table Reasoning Datasets
PIPER: Content-Based Table Search via profiling and LLM-Generated Pseudoqueries
May 18, 2026Riccardo Terrenzi, Matteo Falconi, Serkan Ayvaz +1Tabular Data Complex Query Answering
AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark
May 15, 2026Raj Kiran Gupta KatakamTraining Data Attribution Gradient Boosted Tree
Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment
May 14, 2026Sayantan Kumar, Shahriar Noroozizadeh, Juyong Kim +1Patient Trajectories Electronic Health Records
TILBench: A Systematic Benchmark for Tabular Imbalanced Learning Across Data Regimes
May 14, 2026Ruizhe Liu, Jiaqi LuoTabular Learning Tabular Data
ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators
May 14, 2026Davide Scassola, Andrea Coser, Sebastiano SaccaniMembership Inference Attacks Synthetic Data
From Table to Cell: Attention for Better Reasoning with TABALIGN
May 14, 2026Tung Sum Thomas Kwok, Zeyong Zhang, Xinyu Wang +6Tabular Data Large Language Model Reasoning
LIFT: Last-Mile Fine-Tuning for Table Explicitation
May 13, 2026Divij Khaitan, Ashish TiwariTabular Data Large Language Model Fine-Tuning
Just Ask for a Table: A Thirty-Token User Prompt Defeats Sponsored Recommendations in Twelve LLMs
May 12, 2026Andreas Maier, Jeta Sopa, Gozde Gul Sahin +2Large Language Model Evaluation Recommendation
MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
May 11, 2026Alan Arazi, Eilam Shapira, Shoham Grunblat +8Tabular Learning Tabular Foundation Models
SeBA: Semi-supervised few-shot learning via Separated-at-Birth Alignment for tabular data
May 8, 2026Kacper Jurek, Wojciech Batko, Marek Śmieja +1Tabular Learning Semi-Supervised Learning
Mind the Gap? A Distributional Comparison of Real and Synthetic Priors for Tabular Foundation Models
May 7, 2026Alex O. Davies, Telmo de Menezes e Silva Filho, Nirav AjmeriTabular Foundation Models Tabular Data
Data Language Models: A New Foundation Model Class for Tabular Data
May 7, 2026Eda Erol, Giuliano Pezzoli, Ozer Cem KelahmetTabular Learning Tabular Data
PlotPick: AI-powered batch extraction of numerical data from scientific figures
May 7, 2026Tommy CarstensenChart Tabular Data
TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding
May 6, 2026Minjie Qiang, Mingming Zhang, Xiaoyi Bao +5Tabular Learning Tabular Data
Breaking the Quality-Privacy Tradeoff in Tabular Data Generation via In-Context Learning
May 6, 2026Xinyan Han, Yan Lu, Xiaoyu Lin +5Synthetic Tabular Data Synthetic Data
Evaluating Tabular Representation Learning for Network Intrusion Detection
May 4, 2026Muhammad Usman Butt, Andreas Hotho, Daniel SchlörIntrusion Detection Reconstruction-Based Anomaly Detection
Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning
May 4, 2026Judith Sáinz-Pardo Díaz, Álvaro López GarcíaFederated Learning Differential Privacy
FT-RAG: A Fine-grained Retrieval-Augmented Generation Framework for Complex Table Reasoning
May 2, 2026Zebin Guo, Weidong Geng, Ruichen MaoHievi-Rag Tabular Data
WildTableBench: Benchmarking Multimodal Foundation Models on Table Understanding In the Wild
May 1, 2026Junzhe Huang, Xiaoxiao Sun, Yan Yang +6Tabular Data Multimodal Benchmarks
The Power of Order: Fooling LLMs with Adversarial Table Permutations
May 1, 2026Xinshuai Dong, Haifeng Chen, Xuyuan Liu +5Language Model Evasion Attacks Large Language Model Performance

Jun 26, 2026 · cs.SEJ/K move · Enter open · S save

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

Yanuo Ma, Ben Kereopa-Yorke, Ben Schultz

Microsoft

Benchmarks are widely used to evaluate task completion by Large Language Models (LLMs), but this approach has accumulated construction-validity problems, and a passing score may not show whether the requested task was delivered. We study both problems. In a controlled code-as-spec setup, two production Copilot CLI agents (claude-opus-4.7, gpt-5.5) re-implement a React Fluent-UI data table in Angular as a reusable library under a hidden 222-test Playwright oracle across 18 runs and three oracle-availability conditions. Alongside the score, we run a mechanical library audit and check each verdict with a no-op ablation. Without the oracle, the library is present but unfinished, revealed by scores. With the oracle in the loop, the score reaches near-perfect, but from a demo holding the tested behavior directly, the library left dead or absent. We call this building to the test; the broader disposition behind both we call validation self-awareness. The agent does not, on its own, validate what it ships as a user would. Prevalence remains an open question across other agents, signals, and model families. Beyond benchmark scores, dispositions like validation self-awareness merit research attention.

Coding Agents Self-Awareness Tabular Data

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