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Compact HTML-LM Model Achieves State-of-the-Art for Czech Web Documents

By PulseAugur Editorial · [1 sources] ·

Researchers have developed HTML-LM, a compact foundation model with 154 million parameters designed to efficiently process Czech HTML documents. This model, built on a ModernBERT architecture, utilizes HTML-aware training and multiple objectives, including masked language modeling and contrastive distillation from larger models. Deployed in production, HTML-LM processes thousands of web documents per second and achieves state-of-the-art performance for classification and regression tasks within the Czech internet domain, outperforming larger encoders and smaller LLMs. AI

IMPACT This model's efficiency and performance in processing structured web data could inform future developments in web crawling, information extraction, and domain-specific language models.

RANK_REASON The cluster describes the release of a new academic paper detailing a novel model architecture and its performance on a specific domain. [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 →

Compact HTML-LM Model Achieves State-of-the-Art for Czech Web Documents

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13 / 100
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The cluster describes the release of a new academic paper detailing a novel model architecture and its performance on a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, paper, infra
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High
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Martin Dvo\v{r}\'ak, V\'it Tlusto\v{s}, Artyom Voronin, Martin Habrovec, Kate\v{r}ina Podlesn\'a, Barbora Ri\v{s}ov\'a, Josef Von\'a\v{s}ek ·

    Size Matters: Foundation Model for Czech HTML documents

    arXiv:2609.18494v1 Announce Type: new Abstract: Creating universal, high-quality representations of web documents in high-traffic industrial environments requires models that are both performant and economic. Existing approaches, however, often depend on large models, overlook th…

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