---
title: "Who cites Benoît Crabbé"
description: "367 papers of the Elamur Research library cite the works of Benoît Crabbé, found in their bibliographies; the most cited first."
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---
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# Who cites Benoît Crabbé

402 citations of their works from 367 papers of our library (of the 140,884 whose bibliographies we read) · 28 with a page here, the most cited first · [← Benoît Crabbé](https://md.research.elamur.ai/free/en/authors/benoit-crabbe/)

1. [**Transformers: State-of-the-Art Natural Language Processing**Thomas Wolf, Lysandre Debut, Victor Sanh, et al.*2020 · 15,591 citations*](https://md.research.elamur.ai/free/en/papers/wolf-2020-transformers-state-art-natural-language/)
2. [**Pre-trained Models for Natural Language Processing: A Survey**Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.*2020 · 1,740 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2020-pre-trained-models-natural-language/)
3. [**mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer**Linting Xue, Noah Constant, Adam Roberts, et al.*2021 · 1,574 citations*](https://md.research.elamur.ai/free/en/papers/xue-2021-mt5-massively-multilingual-pre-trained/)
4. [**Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey**Bonan Min, Hayley Ross, Elior Sulem, et al.*2021 · 1,548 citations*](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/)
5. [**CamemBERT: a Tasty French Language Model**Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al.*2019 · 1,262 citations*](https://md.research.elamur.ai/free/en/papers/martin-2019-camembert-tasty-french-language-model/)
6. [**IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages**Divyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, et al.*2020 · 730 citations*](https://md.research.elamur.ai/free/en/papers/kakwani-2020-indicnlpsuite-monolingual-corpora-evaluation-benchmarks/)
7. [**ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic**Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi*2021 · 478 citations*](https://md.research.elamur.ai/free/en/papers/abdul-mageed-2021-arbert-marbert-deep-bidirectional-transformers/)
8. [**German's Next Language Model**Branden Chan, Stefan Schweter, Timo Möller*2020 · 385 citations*](https://md.research.elamur.ai/free/en/papers/chan-2020-german-s-next-language-model/)
9. [**BERTje: A Dutch BERT Model**Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, et al.*2019 · 357 citations*](https://md.research.elamur.ai/free/en/papers/de-vries-2019-bertje-dutch-bert-model/)
10. [**Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure**Oscar Täckström, Ryan McDonald, Jakob Uszkoreit*2012 · 340 citations*](https://md.research.elamur.ai/free/en/papers/tackstrom-2012-cross-lingual-word-clusters-direct/)
11. [**BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla**Abhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, et al.*2022 · 296 citations*](https://md.research.elamur.ai/free/en/papers/bhattacharjee-2022-banglabert-language-model-pretraining-benchmarks/)
12. [**IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding**Bryan Wilie, Karissa Vincentio, Genta Indra Winata, et al.*2020 · 265 citations*](https://md.research.elamur.ai/free/en/papers/wilie-2020-indonlu-benchmark-resources-evaluating-indonesian/)
13. [**Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 244 citations*](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/)
14. [**HONEST: Measuring Hurtful Sentence Completion in Language Models**Debora Nozza, Federico Bianchi, Dirk Hovy*2021 · 190 citations*](https://md.research.elamur.ai/free/en/papers/nozza-2021-honest-measuring-hurtful-sentence-completion/)
15. [**Statistical French Dependency Parsing: Treebank Conversion and First Results**Marie Candito, Benoît Crabbé, Pascal Denis*2010 · 162 citations*](https://md.research.elamur.ai/free/en/papers/candito-2010-statistical-french-dependency-parsing-treebank/)
16. [**French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English**Aurélie Névéol, Yoann Dupont, Julien Bezançon, et al.*2022 · 107 citations*](https://md.research.elamur.ai/free/en/papers/neveol-2022-french-crows-pairs-extending-challenge/)
17. [**JGLUE: Japanese General Language Understanding Evaluation**Kentaro Kurihara, Daisuke Kawahara, Tomohide Shibata*2022 · 90 citations*](https://md.research.elamur.ai/free/en/papers/kurihara-2022-jglue-japanese-general-language-understanding/)
18. [**JABER and SABER: Junior and Senior Arabic BERt**Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2021-jaber-saber-junior-senior-arabic/)
19. [**Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models-their/)
20. [**Annotating referential continuity in a school-writing corpus: first results (Annotation de la continuité référentielle dans un corpus scolaire – premiers résultats)**Martina Barletta*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/barletta-2024-annotation-de-la-continuite-referentielle/)
21. [**Germanic syntax: A constraint-based view**Stefan Müller*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/muller-2023-germanic-syntax-constraint-based/)
22. [**Un corpus arboré pour le français : le French Treebank A parsed corpus for French: the French treebank**Anne Abeillé, Lionel Clément, Loïc Liégeois*2019 · 2 citations*](https://md.research.elamur.ai/free/en/papers/abeille-2019-un-corpus-arbore-pour-le/)
23. [**AlcLaM: Arabic Dialectal Language Model**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
24. [**Bidirectionnal converter between syntactic annotations : from French Treebank Dependencies to PASSAGE annotations, and back**Munshi Asadullah, Patrick Paroubek, Anne Vilnat*2014 · 1 citation*](https://md.research.elamur.ai/free/en/papers/asadullah-2014-bidirectionnal-converter-between-syntactic-annotations/)
25. [**Evaluating the Adaptability of Large Language Models to Linguistic Variation**Ziyan Xu, Marina Seghier, Alice Millour, et al.*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-evaluating-adaptability-large-language-models/)
26. [**Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus**Aidan Mannion, Cécile Macaire, Armand Violle, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mannion-2026-is-biomedical-specialization-still-worth/)
27. [**Annotating the French Wiktionary with supersenses for large scale lexical analysis: a use case to assess form-meaning relationships within the nominal lexicon**Nicolas Angleraud, Lucie Barque, Marie Candito*2025*](https://md.research.elamur.ai/free/en/papers/angleraud-2025-french-wiktionary-supersenses/)
28. [**Validation Issues induced by an Automatic Pre-Annotation Mechanism in the Building of Non-projective Dependency Treebanks**Ophélie Lacroix, Denis Béchet*2014*](https://md.research.elamur.ai/free/en/papers/lacroix-2014-validation-issues-induced-automatic-pre/)

339 more citing papers of our library have no page here yet.

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