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Omnidocbench: Benchmarking diverse pdf document parsing with comprehensive annotations

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cs.CV 1

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2026 1

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LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs?

cs.CV · 2026-05-09 · unverdicted · novelty 6.0

LLaVA-UHD v4 reduces visual-encoding FLOPs by 55.8% for high-resolution images in MLLMs via slice-based encoding plus intra-ViT early compression while matching or exceeding baseline performance on document, OCR, and VQA benchmarks.

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  • LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs? cs.CV · 2026-05-09 · unverdicted · none · ref 33

    LLaVA-UHD v4 reduces visual-encoding FLOPs by 55.8% for high-resolution images in MLLMs via slice-based encoding plus intra-ViT early compression while matching or exceeding baseline performance on document, OCR, and VQA benchmarks.