Cover Image

VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Muye, Zhang, Lingling, Han, Lai, Wu, Wenjun, Zhang, Xinyu, Liu, Jun
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering
by: Zhang, Lingling, et al.
Published: (2024)

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding
by: Huang, Muye, et al.
Published: (2024)

ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding
by: Huang, Muye, et al.
Published: (2025)

ChartAct: A Benchmark for Dynamic Chart Understanding
by: Huang, Muye, et al.
Published: (2026)

SketchVL: Policy Optimization via Fine-Grained Credit Assignment for Chart Understanding and More
by: Huang, Muye, et al.
Published: (2026)

ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering
by: Kaur, Rachneet, et al.
Published: (2025)

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
by: Liu, Zheng, et al.
Published: (2026)

Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data
by: Li, Zijian, et al.
Published: (2025)

Diagram-Driven Course Questions Generation
by: Zhang, Xinyu, et al.
Published: (2024)

Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations
by: Ford, James, et al.
Published: (2024)

InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
by: Xie, Tianchi, et al.
Published: (2025)

SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
by: Kim, Wonjoong, et al.
Published: (2024)

ChartQA-X: Generating Explanations for Visual Chart Reasoning
by: Hegde, Shamanthak, et al.
Published: (2025)

ChartBench: A Benchmark for Complex Visual Reasoning in Charts
by: Xu, Zhengzhuo, et al.
Published: (2023)

ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering
by: Wu, Yifan, et al.
Published: (2024)

Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation Framework
by: Yang, Yuming, et al.
Published: (2025)

RefChartQA: Grounding Visual Answer on Chart Images through Instruction Tuning
by: Vogel, Alexander, et al.
Published: (2025)

mChartQA: A universal benchmark for multimodal Chart Question Answer based on Vision-Language Alignment and Reasoning
by: Wei, Jingxuan, et al.
Published: (2024)

Chart-FR1: Visual Focus-Driven Fine-Grained Reasoning on Dense Charts
by: Pan, Hongkun, et al.
Published: (2026)

TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning
by: Zhang, Liang, et al.
Published: (2024)

ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
by: Masry, Ahmed, et al.
Published: (2024)

ChartAgent: A Chart Understanding Framework with Tool Integrated Reasoning
by: Wang, Boran, et al.
Published: (2025)

ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
by: Xia, Renqiu, et al.
Published: (2024)

StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding
by: Xia, Renqiu, et al.
Published: (2023)

ChartAB: A Benchmark for Chart Grounding & Dense Alignment
by: Bansal, Aniruddh, et al.
Published: (2025)

Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction Tuning
by: Zeng, Xingchen, et al.
Published: (2024)

Chart Specification: Structural Representations for Incentivizing VLM Reasoning in Chart-to-Code Generation
by: He, Minggui, et al.
Published: (2026)

Chart-RVR: Reinforcement Learning with Verifiable Rewards for Explainable Chart Reasoning
by: Sinha, Sanchit, et al.
Published: (2025)

POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering
by: Xu, Yichen, et al.
Published: (2025)

AskChart: Universal Chart Understanding through Textual Enhancement
by: Yang, Xudong, et al.
Published: (2024)

On the Perception Bottleneck of VLMs for Chart Understanding
by: Liu, Junteng, et al.
Published: (2025)

VoQA: Visual-only Question Answering
by: An, Jianing, et al.
Published: (2025)

AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering
by: Ukai, Mahiro, et al.
Published: (2024)

Chart-R1: Chain-of-Thought Supervision and Reinforcement for Advanced Chart Reasoner
by: Chen, Lei, et al.
Published: (2025)

Socratic Chart: Cooperating Multiple Agents for Robust SVG Chart Understanding
by: Ji, Yuyang, et al.
Published: (2025)

Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering
by: Zhang, Yanjie, et al.
Published: (2026)

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
by: Yang, Cheng, et al.
Published: (2024)

OneChart: Purify the Chart Structural Extraction via One Auxiliary Token
by: Chen, Jinyue, et al.
Published: (2024)

MSG-Chart: Multimodal Scene Graph for ChartQA
by: Dai, Yue, et al.
Published: (2024)

Beyond Single Plots: A Benchmark for Question Answering on Multi-Charts
by: Efat, Azher Ahmed, et al.
Published: (2026)