Improving OCR Faithfulness via Gated and Attenuated On-Policy Distillation

## Computer Science > Artificial Intelligence

## Computer Science > Artificial Intelligence ## Title:Improving OCR Faithfulness via Gated and Attenuated On-Policy Distillation > Abstract:Vision-language models may rewrite anomalous text in images into linguistically plausible expressions, compromising OCR transcription faithfulness. Sequence-level task rewards and local teacher guidance are complementary, but guidance from the same teacher may not remain equally effective as the student improves. Offline analysis shows that supervision from a fixed teacher becomes progressively less favorable as the student improves, both across training…

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Источник: ArXiv cs.AI

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