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Polish ModernBERT encoders debut with 8K context variants

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced Polish ModernBERT, a new family of four Polish language encoders available in Base and Large scales, each with 512-token and 8K context variants. These models adapt the ModernBERT pretraining recipe and are designed for improved performance on Polish language understanding tasks. Across 30 tasks, Polish ModernBERT achieved superior results compared to existing Polish encoders, with the 8K variants showing significant improvements on long-context tasks. AI

IMPACT Introduces new, more efficient Polish language models with extended context capabilities.

RANK_REASON Academic paper introducing new language models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Polish ModernBERT encoders debut with 8K context variants

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Academic paper introducing new language models. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Micha{\l} Pere{\l}kiewicz, S{\l}awomir Dadas, Rafa{\l} Po\'swiata, Ma{\l}gorzata Gr\k{e}bowiec ·

    Polish ModernBERT: The Long and Short of Polish Language Understanding

    arXiv:2609.01379v1 Announce Type: new Abstract: Encoder-only Transformers remain effective for discriminative and representation-learning tasks, yet Polish encoders still largely rely on BERT/RoBERTa-style architectures. We introduce \textbf{Polish ModernBERT}, a family of four P…

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