🔗 Who cites «EuroBERT: Scaling Multilingual Encoders for European Languages»

34 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «EuroBERT: Scaling Multilingual Encoders for European Languages»

1. mmBERT: A Modern Multilingual Encoder with Annealed Language LearningarXiv:2509.06888Marc Marone, Orion Weller, William Fleshman, et al.2025 · 59 citations
2. New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec ModelsLanguage Resources and Evaluation Conference (LREC)Julia Wunderle, Anton Ehrmanntraut, Jan Pfister, et al.2026 · 7 citations
3. Transforming Causal LLM into MLM Encoder for Detecting Social Media Manipulation in TelegramUkrainian Natural Language Processing WorkshopAnton Bazdyrev, Ivan Bashtovyi, Ivan Havlytskyi, et al.2025 · 2 citations
4. CEFR-Cymraeg: A Dataset and Baseline Models for Language Proficiency Assessment in WelshLanguage Resources and Evaluation Conference (LREC)Eeshan Waqar, Jonathan Davies, Dawn Knight, et al.2026 · 1 citation
5. SindBERT, the Sailor: Charting the Seas of Turkish NLPWorkshop Natural Language Processing for Turkic LanguagesRaphael Schmitt, Stefan Schweter2026 · 1 citation
6. UMUTeam at SemEval-2026 Task 10: Transformer Ensembles for Conspiratorial Span Extraction and DetectionInternational Workshop on Semantic Evaluation (SemEval)Jorge Gómez-Navalón, Ronghao Pan, Tomás Bernal-Beltrán, et al.2026 · 1 citation
7. A multilingual hallucination benchmarkWorkshop on the Role of Resources in the Age of Large Language ModelsFreja Thoresen, Dan Saattrup Smart2026
8. GATech at AbjadMed: Bidirectional Encoders vs. Causal Decoders: Insights from 82-Class Arabic Medical ClassificationWorkshop on NLP for Languages Using Arabic ScriptAhmed Khamis2026
9. GePaDeSE: A New Resource for Clause-Level Aspect in German Parliamentary DebatesLanguage Resources and Evaluation Conference (LREC)Julian Schlenker, Ines Rehbein, Lilly Brauner, et al.2026
10. Ideology Prediction of German Political TextsarXiv:2605.14352Sinclair Schneider, Florian Steuber, Joao A. G. Schneider, et al.2026
11. SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Michelle Wastl, Jannis Vamvas, Rico Sennrich2026

23 more papers of our library cite it; they have no page here yet.

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