Copertina

ChartAnchor: Chart Grounding with Structural-Semantic Fidelity

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Xinhang, Zhou, Jingbo, Luo, Pengfei, Xiao, Yixiong, Xu, Tong
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning
di: Xu, Zhengzhuo, et al.
Pubblicazione: (2025)

ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding
di: Wu, Yifan, et al.
Pubblicazione: (2025)

SynChart: Synthesizing Charts from Language Models
di: Liu, Mengchen, et al.
Pubblicazione: (2024)

Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts
di: Chen, Xiangnan, et al.
Pubblicazione: (2025)

ChartEditBench: Evaluating Grounded Multi-Turn Chart Editing in Multimodal Language Models
di: Kapadnis, Manav Nitin, et al.
Pubblicazione: (2026)

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation
di: Zhao, Xuanle, et al.
Pubblicazione: (2025)

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

ChartKG: A Knowledge-Graph-Based Representation for Chart Images
di: Zhou, Zhiguang, et al.
Pubblicazione: (2024)

Chart-CoCa: Self-Improving Chart Understanding of Vision LMs via Code-Driven Synthesis and Candidate-Conditioned Answering
di: Jiang, Gongyao, et al.
Pubblicazione: (2025)

ChartDiff: A Large-Scale Benchmark for Comprehending Pairs of Charts
di: Ye, Rongtian
Pubblicazione: (2026)

ChartM$^3$: Benchmarking Chart Editing with Multimodal Instructions
di: Yang, Donglu, et al.
Pubblicazione: (2025)

Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights
di: Wu, Yifan, et al.
Pubblicazione: (2025)

ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation
di: Kondic, Jovana, et al.
Pubblicazione: (2025)

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

ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
di: Xu, Zhengzhuo, et al.
Pubblicazione: (2024)

Advancing Chart Question Answering with Robust Chart Component Recognition
di: Zheng, Hanwen, et al.
Pubblicazione: (2024)

ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution
di: Goswami, Kanika, et al.
Pubblicazione: (2025)

Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
di: Zadeh, Fatemeh Pesaran, et al.
Pubblicazione: (2024)

ChartCap: Mitigating Hallucination of Dense Chart Captioning
di: Lim, Junyoung, et al.
Pubblicazione: (2025)

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

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

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

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

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

Chart-RL: Policy Optimization Reinforcement Learning for Enhanced Visual Reasoning in Chart Question Answering with Vision Language Models
di: Bai, Yunfei, et al.
Pubblicazione: (2026)

Improved Iterative Refinement for Chart-to-Code Generation via Structured Instruction
di: Xu, Chengzhi, et al.
Pubblicazione: (2025)

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

ChartEye: A Deep Learning Framework for Chart Information Extraction
di: Mustafa, Osama, et al.
Pubblicazione: (2024)

ChArtist: Generating Pictorial Charts with Unified Spatial and Subject Control
di: Xiao, Shishi, et al.
Pubblicazione: (2026)

ChartDesign: Towards LLM Designer of Data Visualization
di: Ansari, Mohammed Afaan, et al.
Pubblicazione: (2026)

Exploring Diffusion Models for Generative Forecasting of Financial Charts
di: Lee, Taegyeong, et al.
Pubblicazione: (2025)

ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning
di: Luo, Pengfei, et al.
Pubblicazione: (2025)

ChartComplete: A Taxonomy-based Inclusive Chart Dataset
di: Mustapha, Ahmad, et al.
Pubblicazione: (2026)

Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
di: Tong, Jintao, et al.
Pubblicazione: (2024)

Dual-stage and Lightweight Patient Chart Summarization for Emergency Physicians
di: Wu, Jiajun, et al.
Pubblicazione: (2025)

Faithful Chart Summarization with ChaTS-Pi
di: Krichene, Syrine, et al.
Pubblicazione: (2024)

ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding
di: Kondic, Jovana, et al.
Pubblicazione: (2026)

Control Charts for Multi-agent Systems
di: Helm, Hayden, et al.
Pubblicazione: (2026)

Contextual Chart Generation for Cyber Deception
di: Nguyen, David D., et al.
Pubblicazione: (2024)

Charting the Shapes of Stories with Game Theory
di: Daskalakis, Constantinos, et al.
Pubblicazione: (2024)