---
title: "Who cites MAGNET: Improving the — 14 citing papers"
description: "14 papers of the Elamur Research library cite «MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive…"
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# Who cites «MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization»

14 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization»](https://md.research.elamur.ai/free/en/papers/ahia-2024-magnet-improving-multilingual-fairness-language/)

1. **[FLEXITOKENS: Flexible Tokenization for Evolving Language Models](https://md.research.elamur.ai/free/en/papers/owodunni-2026-flexitokens-flexible-tokenization-evolving-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar*2026 · 3 citations*
2. **[Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic Alphabet](https://md.research.elamur.ai/free/en/papers/miletic-2026-phonemes-rescue-multilingual-tokenization-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Milan Miletić, Julie Kallini, Ekaterina Shutova*2026 · 1 citation*
3. **[Reclaiming African Voices: Surveying Indigenous Writing Systems for Inclusive NLP](https://md.research.elamur.ai/free/en/papers/traore-2026-reclaiming-african-voices-surveying-indigenous/) [Resources for African Indigenous Languages (RAIL) @ LREC](https://md.research.elamur.ai/free/en/venues/rail/)**Mamady Traore, Ngoc Tan Le, Fatiha Sadat*2026*
4. **[The Limits of Data Scaling: Sub-token Utilization and Acoustic Saturation in Multilingual ASR](https://md.research.elamur.ai/free/en/papers/liang-2026-limits-data-scaling-sub-token/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Siyu Liang, Nicolas Ballier, Gina-Anne Levow, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ahia-2024-magnet-improving-multilingual-fairness-language/) — MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization