most citedRetrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

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cs.CV2025

Effective Training Data Synthesis for Improving MLLM Chart Understanding

Yuwei Yang, Zeyu Zhang, Yunzhong Hou +5

Being able to effectively read scientific plots, or chart understanding, is a central part toward building effective agents for science. However, existing multimodal large language…

cs.CV2024

Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA

Zhuowan Li, Bhavan Jasani, Peng Tang +1

Understanding data visualizations like charts and plots requires reasoning about both visual elements and numerics. Although strong in extractive questions, current chart visual qu…