Cover Image

TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Changjiang, Yu, Fengchang, Chen, Haihua, Lu, Wei, Zeng, Jin
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Human Annotation: Recent Advances in Data Generation Methods for Document Intelligence
by: Ying, Dehao, et al.
Published: (2026)

Fake-HR1: Rethinking Reasoning of Vision Language Model for Synthetic Image Detection
by: Jiang, Changjiang, et al.
Published: (2026)

NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)

Reinforcing Numerical Reasoning in LLMs for Tabular Prediction via Structural Priors
by: Cai, Pengxiang, et al.
Published: (2025)

TabChange: Precise Attribute Changes in Tabular Data
by: Dahal, Arjun, et al.
Published: (2026)

TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion
by: Cai, Donghong, et al.
Published: (2026)

Collaborative LLM Numerical Reasoning with Local Data Protection
by: Zhang, Min, et al.
Published: (2025)

MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
by: Sinodinos, Dimitrios, et al.
Published: (2025)

Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models
by: Wang, Yuhui, et al.
Published: (2025)

TabDPT: Scaling Tabular Foundation Models on Real Data
by: Ma, Junwei, et al.
Published: (2024)

Clinical Reasoning over Tabular Data and Text with Bayesian Networks
by: Rabaey, Paloma, et al.
Published: (2024)

ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following
by: Yang, Yuancheng, et al.
Published: (2026)

Chain-of-Sanitized-Thoughts: Plugging PII Leakage in CoT of Large Reasoning Models
by: Das, Arghyadeep, et al.
Published: (2026)

TabKANet: Tabular Data Modeling with Kolmogorov-Arnold Network and Transformer
by: Gao, Weihao, et al.
Published: (2024)

TabSieve: Explicit In-Table Evidence Selection for Tabular Prediction
by: Wang, Yongyao, et al.
Published: (2026)

Multimodal Tabular Reasoning with Privileged Structured Information
by: Jiang, Jun-Peng, et al.
Published: (2025)

Tabular Feature Discovery With Reasoning Type Exploration
by: Han, Sungwon, et al.
Published: (2025)

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data
by: Chen, Suiyao, et al.
Published: (2024)

TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation
by: Fang, Liancheng, et al.
Published: (2025)

TabArena: A Living Benchmark for Machine Learning on Tabular Data
by: Erickson, Nick, et al.
Published: (2025)

TabINR: An Implicit Neural Representation Framework for Tabular Data Imputation
by: Ochs, Vincent, et al.
Published: (2025)

TabAttackBench: A Benchmark for Adversarial Attacks on Tabular Data
by: He, Zhipeng, et al.
Published: (2025)

TabTracer: Monte Carlo Tree Search for Complex Table Reasoning with Large Language Models
by: Luo, Zhizhao, et al.
Published: (2026)

TabularMath: Understanding Math Reasoning over Tables with Large Language Models
by: Tian, Shi-Yu, et al.
Published: (2025)

AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data
by: Alshaikh, Rana, et al.
Published: (2025)

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold
by: Yi, Chenlang, et al.
Published: (2026)

Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation
by: Dai, Chengwei, et al.
Published: (2024)

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
by: Qu, Jingang, et al.
Published: (2025)

TabPFN-MT: A Natively Multitask In-Context Learner for Tabular Data
by: Cureton, Cormac, et al.
Published: (2026)

Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
by: Nam, Jaehyun, et al.
Published: (2024)

MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
by: Wang, Zifeng, et al.
Published: (2023)

DP-TabICL: In-Context Learning with Differentially Private Tabular Data
by: Carey, Alycia N., et al.
Published: (2024)

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
by: Shi, Wenqi, et al.
Published: (2024)

VisTabNet: Adapting Vision Transformers for Tabular Data
by: Wydmański, Witold, et al.
Published: (2024)

DynaTab: Dynamic Feature Ordering as Neural Rewiring for High-Dimensional Tabular Data
by: Habib, Al Zadid Sultan Bin, et al.
Published: (2026)

TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering
by: Habib, Al Zadid Sultan Bin, et al.
Published: (2024)

NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities
by: Zeng, Changyu, et al.
Published: (2025)

Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning
by: Chen, Zhipeng, et al.
Published: (2026)

Deconstructing Spatial Complexity: Hierarchical Decomposition for LLM Spatial Reasoning
by: Wang, Yi, et al.
Published: (2026)

OmniTabBench: Mapping the Empirical Frontiers of GBDTs, Neural Networks, and Foundation Models for Tabular Data at Scale
by: Jiang, Dihong, et al.
Published: (2026)