🧑‍🔬 Who cites Peiqin Lin

57 citations of their works from 57 papers of our library (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← Peiqin Lin

1. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
2. CultureLLM: Incorporating Cultural Differences into Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Cheng Li, Mengzhou Chen, Jindong Wang, et al.2024 · 162 citations
3. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
4. Why do language models perform worse for morphologically complex languages?International Conference on Computational Linguistics (COLING)Catherine Arnett, Benjamin Bergen2025 · 53 citations
5. The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating ItConference on Empirical Methods in Natural Language Processing (EMNLP)Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, et al.2025 · 25 citations
6. Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?Transactions of the Association for Computational Linguistics (TACL)Evgeniia Razumovskaia, Ivan Vulić, Anna Korhonen2025 · 15 citations
7. Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative DatasetsFindings of the Association for Computational LinguisticsIsrael Abebe Azime, Atnafu Lambebo Tonja, Tadesse Destaw Belay, et al.2024 · 11 citations
8. TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated DataInternational Conference on Computational Linguistics (COLING)Yihong Liu, Chunlan Ma, Haotian Ye, et al.2025 · 10 citations
9. Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pretrained ModelsFindings of the Association for Computational LinguisticsTaido Purason, Pavel Chizhov, Ivan P. Yamshchikov, et al.2026 · 4 citations
10. MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLPFindings of the Association for Computational LinguisticsKurt Micallef, Claudia Borg2025 · 4 citations
11. AdaptBPE: From General Purpose to Specialized TokenizersConference of the European Chapter of the Association for Computational Linguistics (EACL)Vijini Pilana Liyanage, François Yvon2026 · 1 citation
12. LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language AdaptationLanguage Resources and Evaluation Conference (LREC)Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl2026
13. Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)YongKang Liu, Xingle Xu, Ercong Nie, et al.2026

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