Qwen improves LLM-based OCR correction with veto gate
Researchers at Qwen have developed a new method called EditVeto to improve the accuracy of language models (LLMs) in correcting Optical Character Recognition (OCR) errors found in historical documents. The technique, described in an arXiv preprint, involves placing a veto gate after a full-context LLM rewrite, which character-aligns the rewrite with the original OCR input and then splits any…
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Key points
- Qwen developed EditVeto to improve LLM-based OCR correction
- Gate character-aligns rewrite with original OCR input
- 0.6 billion-parameter gate decides whether to keep or revert blocks
Read the original at arXiv cs.CL · by Jorge Ram\'on Fonseca Cacho primary sourceOpen source ↗
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