mChartQA: A universal benchmark for multimodal Chart Question Answer based on Vision-Language Alignment and Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Wei, Jingxuan, Xu, Nan, Chang, Guiyong, Luo, Yin, Yu, BiHui, Guo, Ruifeng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering
by: Jia, Caijun, et al.
Published: (2025)
by: Jia, Caijun, et al.
Published: (2025)
RefChartQA: Grounding Visual Answer on Chart Images through Instruction Tuning
by: Vogel, Alexander, et al.
Published: (2025)
by: Vogel, Alexander, et al.
Published: (2025)
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems
by: Zhu, Zifeng, et al.
Published: (2024)
by: Zhu, Zifeng, et al.
Published: (2024)
ChartQA-X: Generating Explanations for Visual Chart Reasoning
by: Hegde, Shamanthak, et al.
Published: (2025)
by: Hegde, Shamanthak, et al.
Published: (2025)
ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering
by: Wei, Jingxuan, et al.
Published: (2025)
by: Wei, Jingxuan, et al.
Published: (2025)
InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
by: Xie, Tianchi, et al.
Published: (2025)
by: Xie, Tianchi, et al.
Published: (2025)
ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering
by: Wu, Yifan, et al.
Published: (2024)
by: Wu, Yifan, et al.
Published: (2024)
VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning
by: Huang, Muye, et al.
Published: (2024)
by: Huang, Muye, et al.
Published: (2024)
MSG-Chart: Multimodal Scene Graph for ChartQA
by: Dai, Yue, et al.
Published: (2024)
by: Dai, Yue, et al.
Published: (2024)
Chart-RL: Policy Optimization Reinforcement Learning for Enhanced Visual Reasoning in Chart Question Answering with Vision Language Models
by: Bai, Yunfei, et al.
Published: (2026)
by: Bai, Yunfei, et al.
Published: (2026)
ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning
by: Xu, Zhengzhuo, et al.
Published: (2025)
by: Xu, Zhengzhuo, et al.
Published: (2025)
EncQA: Benchmarking Vision-Language Models on Visual Encodings for Charts
by: Mukherjee, Kushin, et al.
Published: (2025)
by: Mukherjee, Kushin, et al.
Published: (2025)
ChartAdapter: Large Vision-Language Model for Chart Summarization
by: Xu, Peixin, et al.
Published: (2024)
by: Xu, Peixin, et al.
Published: (2024)
AskChart: Universal Chart Understanding through Textual Enhancement
by: Yang, Xudong, et al.
Published: (2024)
by: Yang, Xudong, et al.
Published: (2024)
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering
by: Kaur, Rachneet, et al.
Published: (2025)
by: Kaur, Rachneet, et al.
Published: (2025)
ChartBench: A Benchmark for Complex Visual Reasoning in Charts
by: Xu, Zhengzhuo, et al.
Published: (2023)
by: Xu, Zhengzhuo, et al.
Published: (2023)
Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts
by: Chen, Xiangnan, et al.
Published: (2025)
by: Chen, Xiangnan, et al.
Published: (2025)
Advancing Chart Question Answering with Robust Chart Component Recognition
by: Zheng, Hanwen, et al.
Published: (2024)
by: Zheng, Hanwen, et al.
Published: (2024)
De-rendering, Reasoning, and Repairing Charts with Vision-Language Models
by: Bonas, Valentin, et al.
Published: (2026)
by: Bonas, Valentin, et al.
Published: (2026)
WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts
by: Foroutan, Negar, et al.
Published: (2025)
by: Foroutan, Negar, et al.
Published: (2025)
ChartEditor: A Human-AI Paired Tool for Authoring Pictorial Charts
by: Yan, Siyu, et al.
Published: (2025)
by: Yan, Siyu, et al.
Published: (2025)
ChartMark: A Structured Grammar for Chart Annotation
by: Chen, Yiyu, et al.
Published: (2025)
by: Chen, Yiyu, et al.
Published: (2025)
ChartAB: A Benchmark for Chart Grounding & Dense Alignment
by: Bansal, Aniruddh, et al.
Published: (2025)
by: Bansal, Aniruddh, et al.
Published: (2025)
FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models
by: Shu, Dong, et al.
Published: (2025)
by: Shu, Dong, et al.
Published: (2025)
ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning
by: Masry, Ahmed, et al.
Published: (2024)
by: Masry, Ahmed, et al.
Published: (2024)
POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering
by: Xu, Yichen, et al.
Published: (2025)
by: Xu, Yichen, et al.
Published: (2025)
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
by: Tang, Liyan, et al.
Published: (2025)
by: Tang, Liyan, et al.
Published: (2025)
CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart
by: Zhao, Bowen, et al.
Published: (2024)
by: Zhao, Bowen, et al.
Published: (2024)
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
by: Xia, Renqiu, et al.
Published: (2024)
by: Xia, Renqiu, et al.
Published: (2024)
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering
by: Masry, Ahmed, et al.
Published: (2025)
by: Masry, Ahmed, et al.
Published: (2025)
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
by: Masry, Ahmed, et al.
Published: (2024)
by: Masry, Ahmed, et al.
Published: (2024)
ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding
by: Huang, Muye, et al.
Published: (2025)
by: Huang, Muye, et al.
Published: (2025)
ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
by: Li, Zhen, et al.
Published: (2025)
by: Li, Zhen, et al.
Published: (2025)
ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding
by: Wu, Yifan, et al.
Published: (2025)
by: Wu, Yifan, et al.
Published: (2025)
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation
by: Zhao, Xuanle, et al.
Published: (2025)
by: Zhao, Xuanle, et al.
Published: (2025)
SynChart: Synthesizing Charts from Language Models
by: Liu, Mengchen, et al.
Published: (2024)
by: Liu, Mengchen, et al.
Published: (2024)
ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning
by: Meng, Fanqing, et al.
Published: (2024)
by: Meng, Fanqing, et al.
Published: (2024)
Do Vision-Language Models See Visualizations Like Humans? Alignment in Chart Categorization
by: Gyarmati, Péter Ferenc, et al.
Published: (2025)
by: Gyarmati, Péter Ferenc, et al.
Published: (2025)
Chart-RVR: Reinforcement Learning with Verifiable Rewards for Explainable Chart Reasoning
by: Sinha, Sanchit, et al.
Published: (2025)
by: Sinha, Sanchit, et al.
Published: (2025)
ChartAgent: A Chart Understanding Framework with Tool Integrated Reasoning
by: Wang, Boran, et al.
Published: (2025)
by: Wang, Boran, et al.
Published: (2025)
Similar Items
-
ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering
by: Jia, Caijun, et al.
Published: (2025) -
RefChartQA: Grounding Visual Answer on Chart Images through Instruction Tuning
by: Vogel, Alexander, et al.
Published: (2025) -
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems
by: Zhu, Zifeng, et al.
Published: (2024) -
ChartQA-X: Generating Explanations for Visual Chart Reasoning
by: Hegde, Shamanthak, et al.
Published: (2025) -
ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering
by: Wei, Jingxuan, et al.
Published: (2025)