Researchers have developed RTPrune, a novel two-stage token pruning method designed to enhance the efficiency of DeepSeek-OCR inference. This method mimics the model's two-stage reading process, first prioritizing high-norm tokens for salient information and then merging remaining tokens using optimal transport theory. RTPrune also incorporates a dynamic pruning ratio tailored for OCR tasks, achieving a superior balance between accuracy and efficiency. AI
影响 Improves inference speed and efficiency for OCR tasks, potentially reducing computational costs for processing long documents.
排序理由 This is a research paper detailing a new method for optimizing inference efficiency in an existing OCR model.
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