CharXiv: A Comprehensive Evaluation Suite Advancing Multimodal Large Language Models Through Realistic Chart Understanding Benchmarks

Multimodal large language models (MLLMs) are advancing the integration of NLP and computer vision, essential for analyzing visual and textual data. These models are particularly valuable for interpreting complex charts in scientific papers, financial reports, and other documents. The primary challenge is enhancing these models’ ability to comprehend and interpret such charts. However, current benchmarks […]

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