ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Yifan, Yan, Lutao, Shen, Leixian, Mei, Yinan, Wang, Jiannan, Luo, Yuyu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
ChartMark: A Structured Grammar for Chart Annotation
by: Chen, Yiyu, et al.
Published: (2025)
by: Chen, Yiyu, et al.
Published: (2025)
Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights
by: Wu, Yifan, et al.
Published: (2025)
by: Wu, Yifan, et al.
Published: (2025)
AskChart: Universal Chart Understanding through Textual Enhancement
by: Yang, Xudong, et al.
Published: (2024)
by: Yang, Xudong, et al.
Published: (2024)
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution
by: Goswami, Kanika, et al.
Published: (2025)
by: Goswami, Kanika, et al.
Published: (2025)
Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts
by: Chen, Xiangnan, et al.
Published: (2025)
by: Chen, Xiangnan, et al.
Published: (2025)
ChartHal: A Fine-grained Framework Evaluating Hallucination of Large Vision Language Models in Chart Understanding
by: Wang, Xingqi, et al.
Published: (2025)
by: Wang, Xingqi, et al.
Published: (2025)
ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
by: Xu, Zhengzhuo, et al.
Published: (2024)
by: Xu, Zhengzhuo, et al.
Published: (2024)
ChartEditBench: Evaluating Grounded Multi-Turn Chart Editing in Multimodal Language Models
by: Kapadnis, Manav Nitin, et al.
Published: (2026)
by: Kapadnis, Manav Nitin, et al.
Published: (2026)
Advancing Chart Question Answering with Robust Chart Component Recognition
by: Zheng, Hanwen, et al.
Published: (2024)
by: Zheng, Hanwen, et al.
Published: (2024)
ChartCap: Mitigating Hallucination of Dense Chart Captioning
by: Lim, Junyoung, et al.
Published: (2025)
by: Lim, Junyoung, et al.
Published: (2025)
ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding
by: Kondic, Jovana, et al.
Published: (2026)
by: Kondic, Jovana, et al.
Published: (2026)
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
by: Masry, Ahmed, et al.
Published: (2024)
by: Masry, Ahmed, et al.
Published: (2024)
Aligned Multi-View Scripts for Universal Chart-to-Code Generation
by: Zhang, Zhihan, et al.
Published: (2026)
by: Zhang, Zhihan, et al.
Published: (2026)
ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation
by: Kondic, Jovana, et al.
Published: (2025)
by: Kondic, Jovana, et al.
Published: (2025)
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling
by: Li, Bingxuan, et al.
Published: (2025)
by: Li, Bingxuan, et al.
Published: (2025)
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning
by: Liu, Fuxiao, et al.
Published: (2023)
by: Liu, Fuxiao, et al.
Published: (2023)
Faithful Chart Summarization with ChaTS-Pi
by: Krichene, Syrine, et al.
Published: (2024)
by: Krichene, Syrine, et al.
Published: (2024)
Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports From Scratch with Agentic Framework
by: Yang, Zhaorui, et al.
Published: (2025)
by: Yang, Zhaorui, et al.
Published: (2025)
ErrorMap and ErrorAtlas: Charting the Failure Landscape of Large Language Models
by: Ashury-Tahan, Shir, et al.
Published: (2026)
by: Ashury-Tahan, Shir, et al.
Published: (2026)
On Pre-training of Multimodal Language Models Customized for Chart Understanding
by: Fan, Wan-Cyuan, et al.
Published: (2024)
by: Fan, Wan-Cyuan, et al.
Published: (2024)
Dual-stage and Lightweight Patient Chart Summarization for Emergency Physicians
by: Wu, Jiajun, et al.
Published: (2025)
by: Wu, Jiajun, et al.
Published: (2025)
RealChart2Code: Advancing Chart-to-Code Generation with Real Data and Multi-Task Evaluation
by: Zhang, Jiajun, et al.
Published: (2026)
by: Zhang, Jiajun, et al.
Published: (2026)
Boosting Chart-to-Code Generation in MLLM via Dual Preference-Guided Refinement
by: Zhang, Zhihan, et al.
Published: (2025)
by: Zhang, Zhihan, 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)
$C^2$: Scalable Auto-Feedback for LLM-based Chart Generation
by: Koh, Woosung, et al.
Published: (2024)
by: Koh, Woosung, 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)
CycleChart: A Unified Consistency-Based Learning Framework for Bidirectional Chart Understanding and Generation
by: Deng, Dazhen, et al.
Published: (2025)
by: Deng, Dazhen, et al.
Published: (2025)
Language models for longitudinal analysis of abusive content in Billboard Music Charts
by: Chandra, Rohitash, et al.
Published: (2025)
by: Chandra, Rohitash, et al.
Published: (2025)
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding
by: Huang, Kung-Hsiang, et al.
Published: (2025)
by: Huang, Kung-Hsiang, et al.
Published: (2025)
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward
by: Yan, Yuzi, et al.
Published: (2024)
by: Yan, Yuzi, et al.
Published: (2024)
SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
by: Kim, Wonjoong, et al.
Published: (2024)
by: Kim, Wonjoong, et al.
Published: (2024)
In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding
by: Fan, Wan-Cyuan, et al.
Published: (2025)
by: Fan, Wan-Cyuan, et al.
Published: (2025)
ChartM$^3$: Benchmarking Chart Editing with Multimodal Instructions
by: Yang, Donglu, et al.
Published: (2025)
by: Yang, Donglu, et al.
Published: (2025)
ChartEye: A Deep Learning Framework for Chart Information Extraction
by: Mustafa, Osama, et al.
Published: (2024)
by: Mustafa, Osama, et al.
Published: (2024)
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
by: Huang, Kung-Hsiang, et al.
Published: (2024)
by: Huang, Kung-Hsiang, et al.
Published: (2024)
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)
ChartAnchor: Chart Grounding with Structural-Semantic Fidelity
by: Li, Xinhang, et al.
Published: (2025)
by: Li, Xinhang, et al.
Published: (2025)
Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering
by: Chen, Zixin, et al.
Published: (2025)
by: Chen, Zixin, et al.
Published: (2025)
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
by: Wang, Zirui, et al.
Published: (2024)
by: Wang, Zirui, et al.
Published: (2024)
Similar Items
-
ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering
by: Wu, Yifan, et al.
Published: (2024) -
ChartMark: A Structured Grammar for Chart Annotation
by: Chen, Yiyu, et al.
Published: (2025) -
Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights
by: Wu, Yifan, et al.
Published: (2025) -
AskChart: Universal Chart Understanding through Textual Enhancement
by: Yang, Xudong, et al.
Published: (2024) -
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution
by: Goswami, Kanika, et al.
Published: (2025)