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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
ChartGalaxy: A Dataset for Infographic Chart Understanding and GenerationCode3
OrionBench: A Benchmark for Chart and Human-Recognizable Object Detection in InfographicsCode3
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation ModelsCode3
InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic ChartsCode3
Vary: Scaling up the Vision Vocabulary for Large Vision-Language ModelsCode3
StructChart: On the Schema, Metric, and Augmentation for Visual Chart UnderstandingCode2
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
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMsCode2
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the WildCode2
ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart EditingCode1
RefChartQA: Grounding Visual Answer on Chart Images through Instruction TuningCode1
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question AnsweringCode1
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic RulesCode1
UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and ReasoningCode1
ChartInstruct: Instruction Tuning for Chart Comprehension and ReasoningCode1
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart UnderstandingCode1
Improving Language Understanding from ScreenshotsCode1
AskChart: Universal Chart Understanding through Textual EnhancementCode0
On the Perception Bottleneck of VLMs for Chart UnderstandingCode0
ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart UnderstandingCode0
DVQA: Understanding Data Visualizations via Question AnsweringCode0
SBS Figures: Pre-training Figure QA from Stage-by-Stage Synthesized ImagesCode0
ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart UnderstandingCode0
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
TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning—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
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