# Improving OCR Faithfulness via Gated and Attenuated On-Policy Distillation

> Полный текст доступен на английском

**Published:** 1 октября 2026 г.
**Author:** Baode Wang, Zuming Huang, Kexuan Ren, Jun Huang, Wei Chu
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/ru/articles/improving-ocr-faithfulness-via-gated-and-attenuated-on-policy-distillati

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…

> Материал агрегирован из первоисточника: **arXiv — cs.AI**
> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2609.38282)

**Теги:** #arXiv

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