arXiv AI August 5, 2026 By Xuehang Guo, Pingyue Zhang, Ruiyi Zhang, Zhenhailong Wang, Hanrui Lyu, Heng Ji, Tong Sun, Qingyun Wang, Manling Li

CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning

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arXiv:2608. 02833v1 Announce Type: cross Abstract: Chart question answering (CQA) requires multimodal large language models (MLLMs) to integrate visual comprehension with logical reasoning, yet current models struggle with accurate visual grounding and coherent reasoning chains.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning

arXiv:2511. 17731v2 Announce Type: replace-cross Abstract: Chain-of-Thought (CoT) prompting has proven remarkably effective for eliciting complex reasoning in large language models (LLMs).

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llms fine-tuning multimodal benchmarks safety

arXiv AI

Aug 25

Think with Structured Grounding: Perceptual Reinforcement Learning for Chart and Visual-Tabular Understanding

arXiv:2608.22429v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) capable of thinking with images often rely on external tools for fine-grained perception. However, this relian...

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llms reinforcement-learning fine-tuning efficiency multimodal

arXiv AI

Aug 21

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding

arXiv:2604. 02794v2 Announce Type: replace Abstract: Charts are ubiquitous in scientific and financial literature for presenting structured data.

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llms agents reinforcement-learning multimodal benchmarks data-engineering

arXiv AI

Jun 10

ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering

arXiv:2510. 04514v3 Announce Type: replace Abstract: Recent multimodal LLMs have shown promise in chart-based visual question answering, but their performance declines sharply on unannotated charts-those requiring precise visual interpretation rather than relying on textual shortcuts.

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llms agents nlp multimodal benchmarks

arXiv Computer Vision

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llms agents fine-tuning multimodal benchmarks

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VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning

Think with Structured Grounding: Perceptual Reinforcement Learning for Chart and Visual-Tabular Understanding

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding

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CoVA-SFT: A Large-Scale Dataset for Chain of Visual Abstractions