Paper page - PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimized Region Refinement and Progressive Post-Training

Source: https://huggingface.co/papers/2606.03264 Authors:

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Abstract

PaddleOCR-VL-1.6 enhances document parsing performance through targeted data optimization and progressive post-training techniques, achieving state-of-the-art results on OmniDocBench v1.6.

We introduce PaddleOCR-VL-1.6, an upgraded compactdocument parsingmodel built upon PaddleOCR-VL-1.5. Although PaddleOCR-VL-1.5 establishes a strong 0.9B baseline, its remaining errors concentrate in under-optimized regions where model behavior is unstable, data coverage is sparse, or supervision is unreliable. Rather than expanding the training corpus indiscriminately, PaddleOCR-VL-1.6 introduces a region-awaredata optimizationframework that identifies weak regions from the previous model, applies targeted enhancement to these regions, and improves the reliability of supervision signals. It further adopts a progressivepost-trainingrecipe based on curated data selection andreinforcement learning, pushing model performance to a higher level through staged optimization. PaddleOCR-VL-1.6 achieves a new state-of-the-art score of 96.33% onOmniDocBenchv1.6, demonstrates strong competitiveness against top-tierVLMs, and provides a practicalpost-trainingrecipe for the PaddleOCR-VL series.

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#### PaddlePaddle/PaddleOCR-VL-1.6 Image-Text-to-Text• 1.0B• Updatedabout 1 hour ago • 4k • 196 #### PaddlePaddle/PaddleOCR-VL-1.6-GGUF 0.5B• Updatedabout 1 hour ago • 2.05k • 9

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