--- title: "Who cites Fanny Jourdan — 39 papers of our library" description: "39 papers of the Elamur Research library cite the works of Fanny Jourdan, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/fanny-jourdan/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fanny-jourdan/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Fanny Jourdan](https://md.research.elamur.ai/free/en/authors/fanny-jourdan/) / cited by # Who cites Fanny Jourdan 39 citations of their works from 39 papers of our library (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · [← Fanny Jourdan](https://md.research.elamur.ai/free/en/authors/fanny-jourdan/) 1. [**mmBERT: A Modern Multilingual Encoder with Annealed Language Learning arXiv:2509.06888**Marc Marone, Orion Weller, William Fleshman, et al.*2025 · 59 citations*](https://md.research.elamur.ai/free/en/papers/marone-2025-mmbert-modern-multilingual-encoder-annealed/) 2. **[MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs](https://md.research.elamur.ai/free/en/papers/alyafeai-2025-mole-metadata-extraction-validation-scientific/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zaid Alyafeai, Maged S. Al-shaibani, Bernard Ghanem*2025 · 10 citations* 3. **[New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec Models](https://md.research.elamur.ai/free/en/papers/wunderle-2026-new-encoders-german-trained-scratch/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julia Wunderle, Anton Ehrmanntraut, Jan Pfister, et al.*2026 · 7 citations* 4. **[Transforming Causal LLM into MLM Encoder for Detecting Social Media Manipulation in Telegram](https://md.research.elamur.ai/free/en/papers/bazdyrev-2025-transforming-causal-llm-into-mlm/) [Ukrainian Natural Language Processing Workshop](https://md.research.elamur.ai/free/en/venues/unlp/)**Anton Bazdyrev, Ivan Bashtovyi, Ivan Havlytskyi, et al.*2025 · 2 citations* 5. **[CEFR-Cymraeg: A Dataset and Baseline Models for Language Proficiency Assessment in Welsh](https://md.research.elamur.ai/free/en/papers/waqar-2026-cefr-cymraeg-dataset-baseline-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Eeshan Waqar, Jonathan Davies, Dawn Knight, et al.*2026 · 1 citation* 6. **[SindBERT, the Sailor: Charting the Seas of Turkish NLP](https://md.research.elamur.ai/free/en/papers/schmitt-2026-sindbert-sailor-charting-seas-turkish/) [Workshop Natural Language Processing for Turkic Languages](https://md.research.elamur.ai/free/en/venues/sigturk/)**Raphael Schmitt, Stefan Schweter*2026 · 1 citation* 7. **[UMUTeam at SemEval-2026 Task 10: Transformer Ensembles for Conspiratorial Span Extraction and Detection](https://md.research.elamur.ai/free/en/papers/navalon-2026-umuteam-semeval-2026-task-10/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jorge Gómez-Navalón, Ronghao Pan, Tomás Bernal-Beltrán, et al.*2026 · 1 citation* 8. **[A multilingual hallucination benchmark](https://md.research.elamur.ai/free/en/papers/thoresen-2026-multilingual-hallucination-benchmark/) [Workshop on the Role of Resources in the Age of Large Language Models](https://md.research.elamur.ai/free/en/venues/resourceful/)**Freja Thoresen, Dan Saattrup Smart*2026* 9. **[GATech at AbjadMed: Bidirectional Encoders vs. Causal Decoders: Insights from 82-Class Arabic Medical Classification](https://md.research.elamur.ai/free/en/papers/khamis-2026-gatech-abjadmed-bidirectional-encoders-vs/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Ahmed Khamis*2026* 10. **[GePaDeSE: A New Resource for Clause-Level Aspect in German Parliamentary Debates](https://md.research.elamur.ai/free/en/papers/schlenker-2026-gepadese-new-resource-clause-level/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julian Schlenker, Ines Rehbein, Lilly Brauner, et al.*2026* 11. [**Ideology Prediction of German Political Texts arXiv:2605.14352**Sinclair Schneider, Florian Steuber, Joao A. G. Schneider, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schneider-2026-ideology-prediction-german-political-texts/) 12. **[Reasoning About Gender: How Source Text Strategies Impact Italian–to-German Machine Translation Beyond the Binary](https://md.research.elamur.ai/free/en/papers/natale-2026-reasoning-about-gender-how-source/) [Workshop on Gender-Inclusive Translation Technologies](https://md.research.elamur.ai/free/en/venues/gitt/)**Paolo Di Natale, Laura Schlutter, Elena Chiocchetti, et al.*2026* 13. **[SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents](https://md.research.elamur.ai/free/en/papers/wastl-2026-swissgov-rsd-human-annotated-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michelle Wastl, Jannis Vamvas, Rico Sennrich*2026* 26 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/fanny-jourdan/) — Fanny Jourdan