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ICDAR 2026 HIPE-OCRepair Competition on LLM-Assisted OCR Post-Correction for Historical Documents

This paper outlines the results of a competition evaluating the ability of large language models to correct optical character recognition errors in historical texts.

Impact
30/100
Current rank score
14.02
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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