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Improving OCR Faithfulness via Gated and Attenuated On-Policy Distillation

arXiv:2609.38282v1 Announce Type: new 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 te…

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  1. 2026-10-01 04:00 · arXiv cs.AI
    Improving OCR Faithfulness via Gated and Attenuated On-Policy Distillation

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