---
title: "Who cites How Can We Effectively Expand — 11 citing papers"
description: "11 papers of the Elamur Research library cite «How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language…"
canonical: "https://research.elamur.ai/free/en/papers/yamaguchi-2026-how-can-we-effectively-expand/cited-by/"
---
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# Who cites «How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text?»

11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text?»](https://md.research.elamur.ai/free/en/papers/yamaguchi-2026-how-can-we-effectively-expand/)

1. **[Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pretrained Models](https://md.research.elamur.ai/free/en/papers/purason-2026-teaching-old-tokenizers-new-words/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Taido Purason, Pavel Chizhov, Ivan P. Yamshchikov, et al.*2026 · 4 citations*
2. **[Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates](https://md.research.elamur.ai/free/en/papers/yamaguchi-2026-mitigating-catastrophic-forgetting-target-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.*2026 · 3 citations*
3. [**Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and Tigrinya**Hailay Kidu Teklehaymanot, Debela Desalegn Yadeta, Wolfgang Nejdl*2026*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-expanding-lexicon-ge-ez-based/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/yamaguchi-2026-how-can-we-effectively-expand/) — How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text?