LLM post-correction substantially lowers character match error on historical OCR, but gains vary by language and noise and over-correction remains a risk on clean inputs.
Journal for Lan- guage Technology and Computational Linguistics (JLCL)33(1), 49–76 (2018), https://jlcl.org/content/2-allissues/1-heft1-2018/jlcl_2018-1_3.pdf
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ICDAR 2026 HIPE-OCRepair Competition on LLM-Assisted OCR Post-Correction for Historical Documents
LLM post-correction substantially lowers character match error on historical OCR, but gains vary by language and noise and over-correction remains a risk on clean inputs.