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Chart Understanding

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Showing 1–47 of 47 papers

TitleStatusHype
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingCode9
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation ModelsCode3
OrionBench: A Benchmark for Chart and Human-Recognizable Object Detection in InfographicsCode3
InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic ChartsCode3
ChartGalaxy: A Dataset for Infographic Chart Understanding and GenerationCode3
Vary: Scaling up the Vision Vocabulary for Large Vision-Language ModelsCode3
StructChart: On the Schema, Metric, and Augmentation for Visual Chart UnderstandingCode2
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMsCode2
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the WildCode2
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction TuningCode2
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language ModelCode2
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code GenerationCode2
Improving Language Understanding from ScreenshotsCode1
UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and ReasoningCode1
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic RulesCode1
ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart EditingCode1
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart UnderstandingCode1
RefChartQA: Grounding Visual Answer on Chart Images through Instruction TuningCode1
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question AnsweringCode1
ChartInstruct: Instruction Tuning for Chart Comprehension and ReasoningCode1
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding—0
Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness—0
A Survey and Approach to Chart Classification—0
C2F-CHART: A Curriculum Learning Approach to Chart Classification—0
ChartAdapter: Large Vision-Language Model for Chart Summarization—0
ChartEye: A Deep Learning Framework for Chart Information Extraction—0
ChartLens: Fine-grained Visual Attribution in Charts—0
ChartLlama: A Multimodal LLM for Chart Understanding and Generation—0
ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering—0
ChartMoE: Mixture of Expert Connector for Advanced Chart Understanding—0
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models—0
Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs—0
On Pre-training of Multimodal Language Models Customized for Chart Understanding—0
ReMI: A Dataset for Reasoning with Multiple Images—0
Revisiting Multi-Modal LLM Evaluation—0
SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding—0
SynChart: Synthesizing Charts from Language Models—0
Tensor Fields for Data Extraction from Chart Images: Bar Charts and Scatter Plots—0
Transformers Utilization in Chart Understanding: A Review of Recent Advances & Future Trends—0
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs—0
On the Perception Bottleneck of VLMs for Chart UnderstandingCode0
DVQA: Understanding Data Visualizations via Question AnsweringCode0
AskChart: Universal Chart Understanding through Textual EnhancementCode0
ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart UnderstandingCode0
SBS Figures: Pre-training Figure QA from Stage-by-Stage Synthesized ImagesCode0
TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts LearningCode0
ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart UnderstandingCode0
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