Copertina

Chart-RVR: Reinforcement Learning with Verifiable Rewards for Explainable Chart Reasoning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sinha, Sanchit, Frunza, Oana, Rasul, Kashif, Nevmyvaka, Yuriy, Zhang, Aidong
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
di: Sinha, Sanchit, et al.
Pubblicazione: (2025)

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

CASL: Concept-Aligned Sparse Latents for Interpreting Diffusion Models
di: He, Zhenghao, et al.
Pubblicazione: (2026)

COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision Language Models
di: Sinha, Sanchit, et al.
Pubblicazione: (2025)

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

ChartCheck: Explainable Fact-Checking over Real-World Chart Images
di: Akhtar, Mubashara, et al.
Pubblicazione: (2023)

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

Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI
di: Garg, Sahil, et al.
Pubblicazione: (2024)

ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement
di: Salamatian, Ali, et al.
Pubblicazione: (2025)

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

Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought Reasoning
di: Sinha, Sanchit, et al.
Pubblicazione: (2026)

GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability
di: He, Zhenghao, et al.
Pubblicazione: (2025)

Annotation-Free Reinforcement Learning Query Rewriting via Verifiable Search Reward
di: Cha, Sungguk, et al.
Pubblicazione: (2025)

Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards
di: Zhang, Xin, et al.
Pubblicazione: (2026)

We Should Chart an Atlas of All the World's Models
di: Horwitz, Eliahu, et al.
Pubblicazione: (2025)

Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models
di: Sinha, Sanchit, et al.
Pubblicazione: (2025)

Retrieving Counterfactuals Improves Visual In-Context Learning
di: Xiong, Guangzhi, et al.
Pubblicazione: (2026)

VTBench: A Multimodal Framework for Time-Series Classification with Chart-Based Representations
di: Venkatesan, Madhumitha, et al.
Pubblicazione: (2026)

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

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

Text Role Classification in Scientific Charts Using Multimodal Transformers
di: Kim, Hye Jin, et al.
Pubblicazione: (2024)

Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
di: Zheng, Guangtao, et al.
Pubblicazione: (2024)

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

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

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

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
di: Xiong, Guangzhi, et al.
Pubblicazione: (2026)

Rethinking Comprehensive Benchmark for Chart Understanding: A Perspective from Scientific Literature
di: Shen, Lingdong, et al.
Pubblicazione: (2024)

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

PoolNet: Deep Learning for 2D to 3D Video Process Validation
di: Kaul, Sanchit, et al.
Pubblicazione: (2025)

Chart Deep Research in LVLMs via Parallel Relative Policy Optimization
di: Tang, Jiajin, et al.
Pubblicazione: (2026)

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

Benchmarking Spurious Bias in Few-Shot Image Classifiers
di: Zheng, Guangtao, et al.
Pubblicazione: (2024)

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

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

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

Charts Are Not Images: On the Challenges of Scientific Chart Editing
di: Li, Shawn, et al.
Pubblicazione: (2025)

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs
di: Wang, Xiyao, et al.
Pubblicazione: (2025)

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

Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
di: Hu, Zijing, et al.
Pubblicazione: (2025)

REBEL: Reinforcement Learning via Regressing Relative Rewards
di: Gao, Zhaolin, et al.
Pubblicazione: (2024)