Chart Understanding

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

27 shown of 27 papers with code (47 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning
  15 Nov 2023 6 repositories listed Syntology ran 9 of 19 samples · 10 unverified · 9 pointer-only (licence)
  Recognizing the need for a comprehensive evaluation of LMM chart understanding, we also propose a MultiModal Chart Benchmark (\textbf{MMC-Benchmark}), a comprehensive human-annotated benchmark with nine distinct tasks…
• InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
  25 May 2025 3 repositories listed Syntology ran 6 of 20 samples · 14 unverified
  However, existing visual-question answering benchmarks fall short in evaluating these capabilities of MLLMs due to the lack of paired plain charts and visual-element-based questions.
• ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
  24 May 2025 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  We showcase the utility of this dataset through: 1) improving infographic chart understanding via fine-tuning, 2) benchmarking code generation for infographic charts, and 3) enabling example-based infographic chart…
• OrionBench: A Benchmark for Chart and Human-Recognizable Object Detection in Infographics
  23 May 2025 3 repositories listed
  To address this limitation, we introduce OrionBench, a benchmark designed to support the development of accurate object detection models for charts and HROs in infographics.
• StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding
  20 Sep 2023 3 repositories listed
  Specifically, StructChart first reformulates the chart data from the tubular form (linearized CSV) to STR, which can friendlily reduce the task gap between chart perception and reasoning.
• ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding
  25 May 2025 1 repository listed
  Charts are high-density visualization carriers for complex data, serving as a crucial medium for information extraction and analysis.
• ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding
  21 May 2025 1 repository listed
  The emergence of Multi-modal Large Language Models (MLLMs) presents new opportunities for chart understanding.
• ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing
  17 May 2025 1 repository listed
  In contrast, small-scale models, including chart-domain models, struggle both with following editing instructions and generating overall chart images, underscoring the need for further development in this area.
• ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering
  7 Apr 2025 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Charts are ubiquitous, as people often use them to analyze data, answer questions, and discover critical insights.
• RefChartQA: Grounding Visual Answer on Chart Images through Instruction Tuning
  29 Mar 2025 1 repository listed
  To bridge this gap, we introduce RefChartQA, a novel benchmark that integrates Chart Question Answering (ChartQA) with visual grounding, enabling models to refer elements at multiple granularities within chart images.
• On the Perception Bottleneck of VLMs for Chart Understanding
  24 Mar 2025 1 repository listed
  Chart understanding requires models to effectively analyze and reason about numerical data, textual elements, and complex visual components.
• ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation
  11 Jan 2025 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  : (1) Low executability and poor restoration of chart details in the generated code and (2) Lack of large-scale and diverse training data.
• AskChart: Universal Chart Understanding through Textual Enhancement
  26 Dec 2024 1 repository listed
  To effectively train AskChart, we design a three-stage training strategy to align visual and textual modalities for learning robust visual-textual representations and optimizing the learning of the MoE layer.
• SBS Figures: Pre-training Figure QA from Stage-by-Stage Synthesized Images
  23 Dec 2024 1 repository listed
  Our SBSFigures demonstrate a strong pre-training effect, making it possible to achieve efficient training with a limited amount of real-world chart data starting from our pre-trained weights.
• DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
  13 Dec 2024 1 repository listed Syntology ran 4 of 13 samples · 9 unverified
  We present DeepSeek-VL2, an advanced series of large Mixture-of-Experts (MoE) Vision-Language Models that significantly improves upon its predecessor, DeepSeek-VL, through two key major upgrades.
• EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding
  3 Sep 2024 1 repository listed
  Chart understanding enables automated data analysis for humans, which requires models to achieve highly accurate visual comprehension.
• Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
  9 Jul 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In light of this, we design a multi-modal self-instruct, utilizing large language models and their code capabilities to synthesize massive abstract images and visual reasoning instructions across daily scenarios.
• ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
  4 Jul 2024 1 repository listed
  However, existing methods suffer crucial drawbacks across two critical axes affecting the performance of chart representation models: they are trained on data generated from underlying data tables of the charts,…
• CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
  26 Jun 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  All models lag far behind human performance of 80.
• TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning
  25 Apr 2024 1 repository listed
  Charts are important for presenting and explaining complex data relationships.
• From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
  18 Mar 2024 1 repository listed
  This survey paper serves as a comprehensive resource for researchers and practitioners in the fields of natural language processing, computer vision, and data analysis, providing valuable insights and directions for…
• ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning
  14 Mar 2024 1 repository listed
  Further evaluation shows that our instruction-tuning approach supports a wide array of real-world chart comprehension and reasoning scenarios, thereby expanding the scope and applicability of our models to new kinds of…
• Improving Language Understanding from Screenshots
  21 Feb 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  An emerging family of language models (LMs), capable of processing both text and images within a single visual view, has the promise to unlock complex tasks such as chart understanding and UI navigation.
• Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models
  11 Dec 2023 1 repository listed
  Accordingly, we propose Vary, an efficient and effective method to scale up the vision vocabulary of LVLMs.
• UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning
  24 May 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Charts are very popular for analyzing data, visualizing key insights and answering complex reasoning questions about data.
• ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules
  5 Apr 2023 1 repository listed Syntology ran 16 of 19 samples · 3 unverified · 19 pointer-only (licence)
  We evaluate ChartReader on Chart-to-Table, ChartQA, and Chart-to-Text tasks, demonstrating its superiority over existing methods.
• DVQA: Understanding Data Visualizations via Question Answering
  24 Jan 2018 1 repository listed
  Bar charts are an effective way to convey numeric information, but today's algorithms cannot parse them.

Syntology lines on 11 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.