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D. Gvozdetsky

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#natural language process... Preprint Oct 2026

Domain adaptation of Russian ModernBERT for long legal documents

We investigate whether continued pretraining on Russian legislative documents improves a Russian ModernBERT encoder on legal text. The adapted model, RuModernBERT-ruLaw, was trained on a corpus reported to contain 304,382 legislative documents and 194,425,905 corpus tokens. Corpus token counts are distinguished from po...

I. Litvak, D. Gvozdetsky, F. Lashkin et al. · 0 citations

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