A hybrid retrieval, data augmentation, and ensemble inference framework fine-tunes Qwen2.5-VL-72B to 59% on the Japanese LAVA document VQA benchmark.
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AdaDocVQA: Adaptive Framework for Long Document Visual Question Answering in Low-Resource Settings
A hybrid retrieval, data augmentation, and ensemble inference framework fine-tunes Qwen2.5-VL-72B to 59% on the Japanese LAVA document VQA benchmark.