AI RESEARCH
Chart-R1: Chain-of-Thought Supervision and Reinforcement for Advanced Chart Reasoner
arXiv CS.AI
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ArXi:2507.15509v3 Announce Type: replace Chart reasoning presents unique challenges due to its inherent complexity -- requiring precise numerical comprehension, multi-level visual understanding, and logical inference across interconnected data elements. Existing vision-language models often struggle with such reasoning tasks, particularly when handling multi-subchart scenarios and numerical sensitivity. To address these challenges, we