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A curated list of recent and past chart understanding work based on our IEEE TKDE survey paper: From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.
🔥🔥 Our survey paper has been accepted by IEEE TKDE! 🔥🔥
A curated list of recent and past chart understanding work based on our IEEE TKDE survey paper: From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.
The repository will be continuously updated 📝. Don't forget to hit the ⭐️ and stay tuned!
If you find this resource beneficial for your research, please do not hesitate to cite the paper referenced in the Citation section. Thank you!
Factoid Questions
DVQA: Understanding Data Visualizations via Question Answering.
Kushal Kafle, Brian Price, Scott Cohen, Christopher Kanan.
FigureQA: An Annotated Figure Dataset for Visual Reasoning.
Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, Akos Kadar, Adam Trischler, Yoshua Bengio.
LEAF-QA: Locate, Encode & Attend for Figure Question Answering.
Ritwick Chaudhry, Sumit Shekhar, Utkarsh Gupta, Pranav Maneriker, Prann Bansal, Ajay Joshi.
STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering.
Hrituraj Singh, Sumit Shekhar.
PlotQA: Reasoning over Scientific Plots.
Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra, Pratyush Kumar.
MapQA: A Dataset for Question Answering on Choropleth Maps.
Shuaichen Chang, David Palzer, Jialin Li, Eric Fosler-Lussier, Ningchuan Xiao.
ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.
Ahmed Masry, Xuan Long Do, Jia Qing Tan, Shafiq Joty, Enamul Hoque.
SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs.
Shengzhi Li, Nima Tajbakhsh.
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning.
Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu.
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models.
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao.
ChartBench: A Benchmark for Complex Visual Reasoning in Charts.
Zhengzhuo Xu, Sinan Du, Yiyan Qi, Chengjin Xu, Chun Yuan, Jian Guo.
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.
Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu.
Long-form Questions
OpenCQA: Open-ended Question Answering with Charts.
Shankar Kantharaj, Xuan Long Do, Rixie Tiffany Leong, Jia Qing Tan, Enamul Hoque, Shafiq Joty.
Neural Data-Driven Captioning of Time-Series Line Charts.
Andrea Spreafico, Giuseppe Carenini.
Figure Captioning with Relation Maps for Reasoning.
Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan Rossi.
Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model.
Jason Obeid, Enamul Hoque.
What Will You Tell Me About the Chart? – Automated Description of Charts.
Karolina Seweryn, Katarzyna Lorenc, Anna Wróblewska, Sylwia Sysko-Romańczuk.
SciCap: Generating Captions for Scientific Figures.
Ting-Yao Hsu, C Lee Giles, Ting-Hao Huang.
Chart-to-Text: A Large-Scale Benchmark for Chart Summarization.
Shankar Kantharaj, Rixie Tiffany Leong, Xiang Lin, Ahmed Masry, Megh Thakkar, Enamul Hoque, Shafiq Joty.
LineCap: Line Charts for Data Visualization Captioning Models.
Anita Mahinpei, Zona Kostic, Chris Tanner.
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries.
Raian Rahman, Rizvi Hasan, Abdullah Al Farhad, Md Tahmid Rahman Laskar, Md. Hamjajul Ashmafee, Abu Raihan Mostofa Kamal. <img src='https://img.shields.io/badge
Evaluating Task-based Effectiveness of MLLMs on Charts.
Yifan Wu, Lutao Yan, Yuyu Luo, Yunhai Wang, Nan Tang.
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs.
Zirui Wang, Mengzhou Xia, Luxi He, Howard Chen, Yitao Liu, Richard Zhu, Kaiqu Liang, Xindi Wu, Haotian Liu, Sadhika Malladi, Alexis Chevalier, Sanjeev Arora, Danqi Chen.
ChartMoE: Mixture of Expert Connector for Advanced Chart Understanding.
Zhengzhuo Xu⁺, Bowen Qu⁺, Yiyan Qi⁺, Sinan Du, Chengjin Xu, Chun Yuan, Jian Guo.