---
title: "Who cites Efficiently Adapting Pretrained — 20 citing papers"
description: "20 papers of the Elamur Research library cite «Efficiently Adapting Pretrained Language Models To New Languages», found in their…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Efficiently Adapting Pretrained Language Models…](https://md.research.elamur.ai/free/en/papers/csaki-2023-efficiently-adapting-pretrained-language-models/) / cited by

# Who cites «Efficiently Adapting Pretrained Language Models To New Languages»

20 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Efficiently Adapting Pretrained Language Models To New Languages»](https://md.research.elamur.ai/free/en/papers/csaki-2023-efficiently-adapting-pretrained-language-models/)

1. [**Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities**Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-adapting-llms-hebrew-unveiling-dictalm/)
2. **[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/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Atsuki Yamaguchi, Aline Villavicencio, Nikolaos Aletras*2026 · 11 citations*
3. **[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*
4. [**Kuwain 1.5B: An Arabic SLM via Language Injection arXiv:2504.15120**Khalil Hennara, Sara Chrouf, Mohamed Motaism Hamed, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/hennara-2025-kuwain-1-5b-arabic-slm/)
5. **[MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder-LLM Integration in Cross-Lingual Reasoning](https://md.research.elamur.ai/free/en/papers/uemura-2026-merlin-multi-stage-curriculum-alignment/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kosei Uemura, David Guzmán, Quang Phuoc Nguyen, et al.*2026 · 1 citation*
6. [**Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction**Kai Golan Hashiloni, Brenda Kasabe Nokai, Michal Shevach, et al.*2025*](https://md.research.elamur.ai/free/en/papers/hashiloni-2025-building-patient-journeys-hebrew-language/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/csaki-2023-efficiently-adapting-pretrained-language-models/) — Efficiently Adapting Pretrained Language Models To New Languages