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ResearchOctober 1, 2026

Improving OCR Faithfulness via Gated and Attenuated On-Policy Distillation

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…

Baode Wang, Zuming Huang, Kexuan Ren, Jun Huang, Wei Chu·arXiv — cs.AI
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Key Takeaways
  • 01.Vision-language models may rewrite anomalous text in images into linguistically plausible expressions, compromising OCR transcription faithfulness
  • 02.Sequence-level task rewards and local teacher guidance are complementary, but guidance from the same teacher may not remain equally…

This material is provided as an extended analytical summary.

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