BARThez: a Skilled Pretrained French Sequence-to-Sequence Model
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Abstract (arXiv)
Inductive transfer learning has taken the entire NLP field by storm, with models such as BERT and BART setting new state of the art on countless NLU tasks. However, most of the available models and research have been conducted for English. In this work, we introduce BARThez, the first large-scale pretrained seq2seq model for French. Being based on BART, BARThez is particularly well-suited for generative tasks. We evaluate BARThez on five discriminative tasks from the FLUE benchmark and two generative tasks from a novel summarization dataset, OrangeSum, that we created for this research. We show BARThez to be very competitive with state-of-the-art BERT-based French language models such as CamemBERT and FlauBERT. We also continue the pretraining of a multilingual BART on BARThez' corpus, and show our resulting model, mBARThez, to significantly boost BARThez' generative performance. Code, data and models are publicly available.
Key facts. Cited by 40 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Oct 2020.
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Citing papers per year: 2021: 8; 2022: 7; 2023: 9; 2024: 8; 2025: 5; 2026: 3.
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- 2023LC-Score: Reference-less estimation of Text Comprehension Difficulty4 Oct 2023
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- 2023GreekBART: The First Pretrained Greek Sequence-to-Sequence Model3 Apr 2023
- 2023Safer Together: Machine Learning Models Trained on Shared Accident Datasets Predict Construction Injuries Better than Company-Specific Models9 Jan 2023
- 2022Word Sense Induction with Hierarchical Clustering and Mutual Information Maximization11 Oct 2022
- 2022Abstractive Meeting Summarization: A Survey8 Aug 2022
- 2022Effectiveness of French Language Models on Abstractive Dialogue Summarization Task17 Jul 2022
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- 2021BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets21 Sep 2021
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- 2021Language Models are Few-shot Multilingual Learners16 Sep 2021
- 2021Evaluation Of Word Embeddings From Large-Scale French Web Content5 May 2021
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- 2021BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweetscited by 9
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12 most cited of 38 All 38 (JSON)
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- 2025AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMs3 Nov 2025
- 2025Inclusive Easy-to-Read Generation for Individuals with Cognitive Impairments1 Oct 2025
- 2025Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation1 Oct 2025
- 2025SENSE models: an open source solution for multilingual and multimodal semantic-based tasks15 Sep 2025
- 2024RoLargeSum: A Large Dialect-Aware Romanian News Dataset for Summary, Headline, and Keyword Generation15 Dec 2024
- 2024The State and Fate of Summarization Datasets: A Survey7 Nov 2024
- 2024Increasing faithfulness in human-human dialog summarization with Spoken Language Understanding tasks16 Sep 2024
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- 2024Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models23 Jul 2024
12 newest of 38 All 38 (JSON)