🔗 Who cites «How to Adapt Your Pretrained Multilingual Model to 1600 Languages»

57 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «How to Adapt Your Pretrained Multilingual Model to 1600 Languages»

1. Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLPSabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.2021 · 190 citations
2. BLOOM+1: Adding Language Support to BLOOM for Zero-Shot PromptingZheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, et al.2023 · 101 citations
3. Expanding Pretrained Models to Thousands More Languages via Lexicon-based AdaptationXinyi Wang, Sebastian Ruder, Graham Neubig2022 · 72 citations
4. FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual ModelsKonstantin Dobler, Gerard de Melo2023 · 61 citations
5. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
6. Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and TigrinyaHailay Kidu Teklehaymanot, Debela Desalegn Yadeta, Wolfgang Nejdl2026
7. Sentiment Analysis and Language Models for KwanyamaNdapa Nakashole2026

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/ebrahimi-2021-how-adapt-your-pretrained-multilingual/cited-by/