Cover Image

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Zheng, Lin, Honglin, Qin, Chonghan, Wang, Xiaoyang, Gao, Xin, Li, Yu, Cai, Mengzhang, Zhu, Yun, Zhong, Zhanping, Pei, Qizhi, Pan, Zhuoshi, Shang, Xiaoran, Cui, Bin, He, Conghui, Zhang, Wentao, Wu, Lijun
Format:	Preprint
Published:	2026
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

MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
by: Lin, Honglin, et al.
Published: (2025)

OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value
by: Cai, Mengzhang, et al.
Published: (2025)

MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
by: Lin, Honglin, et al.
Published: (2026)

Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs
by: Li, Yu, et al.
Published: (2026)

Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility
by: Lin, Honglin, et al.
Published: (2026)

Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
by: Tang, Zinan, et al.
Published: (2025)

Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
by: Lin, Honglin, et al.
Published: (2025)

Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training
by: Cao, Chuxue, et al.
Published: (2026)

ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning
by: Pei, Qizhi, et al.
Published: (2025)

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment
by: Ming, Chenlin, et al.
Published: (2025)

VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning
by: Huang, Muye, et al.
Published: (2024)

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning
by: Li, Yu, et al.
Published: (2025)

MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
by: Pei, Qizhi, et al.
Published: (2025)

Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets
by: Gao, Xin, et al.
Published: (2025)

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once
by: Pan, Zhuoshi, et al.
Published: (2025)

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

LEMMA: Learning from Errors for MatheMatical Advancement in LLMs
by: Pan, Zhuoshi, et al.
Published: (2025)

ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning
by: Tan, Wentao, et al.
Published: (2025)

CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges
by: Li, Yu, et al.
Published: (2025)

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

ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning
by: Masry, Ahmed, et al.
Published: (2024)

Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token's Nature
by: Liu, Zheng, et al.
Published: (2025)

Reviving Static Charts into Live Charts
by: Ying, Lu, et al.
Published: (2023)

ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
by: Xia, Renqiu, 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)

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

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

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

Distill Visual Chart Reasoning Ability from LLMs to MLLMs
by: He, Wei, et al.
Published: (2024)

A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis
by: Gao, Xin, et al.
Published: (2025)

Generalization of CNNs on Relational Reasoning with Bar Charts
by: Cui, Zhenxing, et al.
Published: (2025)

ChartE$^{3}$: A Comprehensive Benchmark for End-to-End Chart Editing
by: Li, Shuo, et al.
Published: (2026)

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

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

Charting Bird Tregs
by: Lingling Wu, et al.
Published: (2026)

ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering
by: Jia, Caijun, et al.
Published: (2025)

InterChart: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information
by: Iyengar, Anirudh Iyengar Kaniyar Narayana, et al.
Published: (2025)

BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning
by: Masry, Ahmed, et al.
Published: (2025)

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