Who cites «MMTEB: Massive Multilingual Text Embedding Benchmark»
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation ModelsarXiv:2506.05176Yanzhao Zhang, Mingxin Li, Dingkun Long, et al.2025 · 313 citations
- mmBERT: A Modern Multilingual Encoder with Annealed Language LearningarXiv:2509.06888Marc Marone, Orion Weller, William Fleshman, et al.2025 · 59 citationsNew 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 citationsA Recipe for Adapting Multilingual Embedders to OCR-Error Robustness and Historical TextsLanguage Resources and Evaluation Conference (LREC)Andrianos Michail, Stylianos Psychias, Juri Opitz, et al.2026Modeling semantic association in self-paced reading with language model embeddingsWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/enevoldsen-2025-mmteb-massive-multilingual-text-embedding/cited-by/