---
title: "Who cites mmBERT: A Modern Multilingual — 55 citing papers"
description: "55 papers of the Elamur Research library cite «mmBERT: A Modern Multilingual Encoder with Annealed Language Learning», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/marone-2025-mmbert-modern-multilingual-encoder-annealed/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [mmBERT: A Modern Multilingual Encoder with…](https://md.research.elamur.ai/free/en/papers/marone-2025-mmbert-modern-multilingual-encoder-annealed/) / cited by

# Who cites «mmBERT: A Modern Multilingual Encoder with Annealed Language Learning»

55 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «mmBERT: A Modern Multilingual Encoder with Annealed Language Learning»](https://md.research.elamur.ai/free/en/papers/marone-2025-mmbert-modern-multilingual-encoder-annealed/)

1. [**HalleluBERT: Let Every Token That Has Meaning Bear Its Weight**Raphael Schmitt*2026*](https://md.research.elamur.ai/free/en/papers/schmitt-2026-hallelubert-let-every-token-that/) **[Rebelòt: Datasets and Token-Level Language Identification for Lombard-Italian-English Code-Mixing](https://md.research.elamur.ai/free/en/papers/signoroni-2026-rebelot-datasets-token-level-language/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Edoardo Signoroni, Emma Bednaříková, Pavel Rychly*2026* **[SentiMalti: A Maltese Sentiment Analysis Dataset and Models](https://md.research.elamur.ai/free/en/papers/caruana-2026-sentimalti-maltese-sentiment-analysis-dataset/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ian Caruana, Matthew Vella, Fabio Zammit, et al.*2026* [**NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel*2025*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-neodictabert-pushing-frontier-bert-models/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/marone-2025-mmbert-modern-multilingual-encoder-annealed/) — mmBERT: A Modern Multilingual Encoder with Annealed Language Learning