How PaddleOCR‑VL‑1.6’s 0.9B Model Achieved 96.33% SOTA on OmniDocBench v1.6

PaddleOCR‑VL‑1.6, a compact 0.9B visual‑language model, diagnoses three types of weak regions, enriches targeted data, and applies a three‑stage CPT‑SFT‑RL training pipeline to reach a 96.33% overall score on OmniDocBench v1.6, surpassing much larger models across all document‑parsing tasks.

OmniDocBenchPaddleOCR-VL-1.6SOTA

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How PaddleOCR‑VL‑1.6’s 0.9B Model Achieved 96.33% SOTA on OmniDocBench v1.6