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New IHUBERT model advances Persian language understanding with curated pretraining

By PulseAugur Editorial · [2 sources] ·

Researchers have developed IHUBERT, a new Persian language model built on the RoBERTa-base encoder. This model was trained on a 45 GB curated dataset from the Sepahr-Danesh collection, totaling approximately 7-8 billion tokens. IHUBERT utilizes a multi-stage preprocessing pipeline, including semantic deduplication, to enhance corpus quality and balance domain representation. The model demonstrates strong performance across various Natural Language Understanding benchmarks, particularly excelling in extractive question answering tasks. AI

IMPACT Advances Persian language modeling capabilities and sets new benchmarks for NLU tasks in the Persian language.

RANK_REASON The cluster describes a new research paper detailing the creation and evaluation of a language model.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New IHUBERT model advances Persian language understanding with curated pretraining

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Arash Ghafouri, Mahdi Firouzmandi, Hossein Saberi, Mohammad Reza Hasani Ahangar ·

    IHUBERT: Vector-Based Semantic Deduplication and Domain-Balanced Pretraining for Persian Resources

    arXiv:2606.20089v1 Announce Type: cross Abstract: Persian pretrained language models (PLMs) are still limited by the scarcity of large-scale, high-quality pretraining corpora and by insufficient evaluation beyond standard classification and NER tasks. We present IHUBERT, a monoli…

  2. arXiv cs.AI TIER_1 English(EN) · Mohammad Reza Hasani Ahangar ·

    IHUBERT: Vector-Based Semantic Deduplication and Domain-Balanced Pretraining for Persian Resources

    Persian pretrained language models (PLMs) are still limited by the scarcity of large-scale, high-quality pretraining corpora and by insufficient evaluation beyond standard classification and NER tasks. We present IHUBERT, a monolingual Persian PLM trained from scratch with the Ro…

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