Vision language models (VLMs) have achieved strong performance on visual document understanding benchmarks such as DocVQA, ChartQA, and MMLongBench-Doc. However, real-world documents combine multiple factors such as length, layout complexity, modality, and question difficulty, which makes it difficult to attribute mode...
Abhigya Verma, Khyati Mahajan, Amit Kumar Saha et al.· 0 citations
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