ReasonTabQA: A Comprehensive Benchmark for Table Question Answering from Real World Industrial Scenarios
Fuente:
arXiv
Saved in:
| Main Authors: | Pan, Changzai, Zhang, Jie, Wei, Kaiwen, Pan, Chenshuo, Zhao, Yu, Huang, Jingwang, Yang, Jian, Wu, Zhenhe, Zeng, Haoyang, Gu, Xiaoyan, Sun, Weichao, Zhai, Yanbo, Mao, Yujie, Jiang, Zhuoru, Zhong, Jiang, Song, Shuangyong, Li, Yongxiang, He, Zhongjiang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering
by: Xiong, Sishi, et al.
Published: (2025)
by: Xiong, Sishi, et al.
Published: (2025)
T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial Tables
by: Zhang, Jie, et al.
Published: (2025)
by: Zhang, Jie, et al.
Published: (2025)
Table-R1: Region-based Reinforcement Learning for Table Understanding
by: Wu, Zhenhe, et al.
Published: (2025)
by: Wu, Zhenhe, et al.
Published: (2025)
MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extraction
by: Li, Zhongqiu, et al.
Published: (2025)
by: Li, Zhongqiu, et al.
Published: (2025)
TableReasoner: Advancing Table Reasoning Framework with Large Language Models
by: Xiong, Sishi, et al.
Published: (2025)
by: Xiong, Sishi, et al.
Published: (2025)
Emotional Support with LLM-based Empathetic Dialogue Generation
by: Wang, Shiquan, et al.
Published: (2025)
by: Wang, Shiquan, et al.
Published: (2025)
Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation Framework
by: Yang, Yuming, et al.
Published: (2025)
by: Yang, Yuming, et al.
Published: (2025)
VoQA: Visual-only Question Answering
by: An, Jianing, et al.
Published: (2025)
by: An, Jianing, et al.
Published: (2025)
DocTabQA: Answering Questions from Long Documents Using Tables
by: Wang, Haochen, et al.
Published: (2024)
by: Wang, Haochen, et al.
Published: (2024)
NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario
by: Qian, Tianwen, et al.
Published: (2023)
by: Qian, Tianwen, et al.
Published: (2023)
TCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in E-commerce
by: Song, Shuangyong, et al.
Published: (2020)
by: Song, Shuangyong, et al.
Published: (2020)
Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization
by: Wang, Zihan, et al.
Published: (2024)
by: Wang, Zihan, et al.
Published: (2024)
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
by: Abdallah, Abdelrahman, et al.
Published: (2024)
by: Abdallah, Abdelrahman, et al.
Published: (2024)
NeoQA: Evidence-based Question Answering with Generated News Events
by: Glockner, Max, et al.
Published: (2025)
by: Glockner, Max, et al.
Published: (2025)
CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation
by: Wei, Kaiwen, et al.
Published: (2025)
by: Wei, Kaiwen, et al.
Published: (2025)
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios
by: Li, Yifan, et al.
Published: (2025)
by: Li, Yifan, et al.
Published: (2025)
DisastQA: A Comprehensive Benchmark for Evaluating Question Answering in Disaster Management
by: Chen, Zhitong, et al.
Published: (2026)
by: Chen, Zhitong, et al.
Published: (2026)
Memory-QA: Answering Recall Questions Based on Multimodal Memories
by: Jiang, Hongda, et al.
Published: (2025)
by: Jiang, Hongda, et al.
Published: (2025)
NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens
by: Wang, Cunxiang, et al.
Published: (2024)
by: Wang, Cunxiang, et al.
Published: (2024)
RB-SQL: A Retrieval-based LLM Framework for Text-to-SQL
by: Wu, Zhenhe, et al.
Published: (2024)
by: Wu, Zhenhe, et al.
Published: (2024)
PolQA: Polish Question Answering Dataset
by: Rybak, Piotr, et al.
Published: (2022)
by: Rybak, Piotr, et al.
Published: (2022)
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering
by: Chen, Xiuying, et al.
Published: (2024)
by: Chen, Xiuying, et al.
Published: (2024)
QA-Dragon: Query-Aware Dynamic RAG System for Knowledge-Intensive Visual Question Answering
by: Jiang, Zhuohang, et al.
Published: (2025)
by: Jiang, Zhuohang, et al.
Published: (2025)
PASemiQA: Plan-Assisted Agent for Question Answering on Semi-Structured Data with Text and Relational Information
by: Yang, Hansi, et al.
Published: (2025)
by: Yang, Hansi, et al.
Published: (2025)
DocVideoQA: Towards Comprehensive Understanding of Document-Centric Videos through Question Answering
by: Wang, Haochen, et al.
Published: (2025)
by: Wang, Haochen, et al.
Published: (2025)
SustainableQA: A Comprehensive Question Answering Dataset for Corporate Sustainability and EU Taxonomy Reporting
by: Ali, Mohammed, et al.
Published: (2025)
by: Ali, Mohammed, et al.
Published: (2025)
MedEthicsQA: A Comprehensive Question Answering Benchmark for Medical Ethics Evaluation of LLMs
by: Wei, Jianhui, et al.
Published: (2025)
by: Wei, Jianhui, et al.
Published: (2025)
Knowledge Graph-Guided Multi-Agent Distillation for Reliable Industrial Question Answering with Datasets
by: Pan, Jiqun, et al.
Published: (2025)
by: Pan, Jiqun, et al.
Published: (2025)
CodeRepoQA: A Large-scale Benchmark for Software Engineering Question Answering
by: Hu, Ruida, et al.
Published: (2024)
by: Hu, Ruida, et al.
Published: (2024)
LingoQA: Visual Question Answering for Autonomous Driving
by: Marcu, Ana-Maria, et al.
Published: (2023)
by: Marcu, Ana-Maria, et al.
Published: (2023)
Answering Questions in Stages: Prompt Chaining for Contract QA
by: Roegiest, Adam, et al.
Published: (2024)
by: Roegiest, Adam, et al.
Published: (2024)
DebateQA: Evaluating Question Answering on Debatable Knowledge
by: Xu, Rongwu, et al.
Published: (2024)
by: Xu, Rongwu, et al.
Published: (2024)
FoQA: A Faroese Question-Answering Dataset
by: Simonsen, Annika, et al.
Published: (2025)
by: Simonsen, Annika, et al.
Published: (2025)
Mitigating Spurious Correlations Between Question and Answer via Chain-of-Thought Correctness Perception Distillation
by: Xie, Hongyan, et al.
Published: (2025)
by: Xie, Hongyan, et al.
Published: (2025)
ClimaQA_SLO - Slovenian Climate Question-Answering Benchmark
by: Ferk Ovčjak, Monika, et al.
Published: (2025)
by: Ferk Ovčjak, Monika, et al.
Published: (2025)
MMToM-QA: Multimodal Theory of Mind Question Answering
by: Jin, Chuanyang, et al.
Published: (2024)
by: Jin, Chuanyang, et al.
Published: (2024)
SyllabusQA: A Course Logistics Question Answering Dataset
by: Fernandez, Nigel, et al.
Published: (2024)
by: Fernandez, Nigel, et al.
Published: (2024)
M2QA: Multi-domain Multilingual Question Answering
by: Engländer, Leon, et al.
Published: (2024)
by: Engländer, Leon, et al.
Published: (2024)
GRS-QA -- Graph Reasoning-Structured Question Answering Dataset
by: Pahilajani, Anish, et al.
Published: (2024)
by: Pahilajani, Anish, et al.
Published: (2024)
VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering
by: Wang, Yanling, et al.
Published: (2025)
by: Wang, Yanling, et al.
Published: (2025)
Similar Items
-
TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering
by: Xiong, Sishi, et al.
Published: (2025) -
T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial Tables
by: Zhang, Jie, et al.
Published: (2025) -
Table-R1: Region-based Reinforcement Learning for Table Understanding
by: Wu, Zhenhe, et al.
Published: (2025) -
MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extraction
by: Li, Zhongqiu, et al.
Published: (2025) -
TableReasoner: Advancing Table Reasoning Framework with Large Language Models
by: Xiong, Sishi, et al.
Published: (2025)