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Who cites Beyza Ermis

445 citations of their works from 399 papers of our library (of the 149,439 whose bibliographies we read) · 110 with a page here, the most cited first · page 2 of 2 · 101–110 · ← Beyza Ermis

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  1. NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, et al.2026
  2. Quantifying the Impact of Translation Errors on Multilingual LLM EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Klaudia Thellmann, Bernhard Stadler, Michael Färber, et al.2026
  3. Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-TrainingarXiv:2608.30609Lukas Borggren, Jenny Kunz, Marco Kuhlmann2026
  4. Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language ModelingarXiv:2604.28075Ansar Aynetdinov, Patrick Haller, Alan Akbik2026
  5. Rethinking Research on Stereotypes: An Analysis through Social Psychological and Computational PerspectivesFindings of the Association for Computational LinguisticsKaustubh Shivshankar Shejole, Pushpak Bhattacharyya2026
  6. SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic LanguagesLanguage Resources and Evaluation Conference (LREC)Hannah Liu, Junghyun Min, Annie En-Shiun Lee, et al.2026
  7. Transferring Scientific English Pre-Trained Language Models to Multiple Languages Using Cross-Lingual TransferNatural Scientific Language Processing (NSLP) @ LRECNikolas Rauscher, Fabio Barth, Georg Rehm2026
  8. UNSC-Bench: Evaluating LLM Diplomatic Role-Playing Through UN Security Council Vote PredictionWorkshop on Multilingual Multicultural EvaluationAyush Nangia, Aman Gokrani, Ruggero Marino Lazzaroni2026
  9. When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context LearningWorkshop on Multilinguality in the Era of Large Language ModelsFred Philippy, Siwen Guo, Jacques Klein, et al.2026
  10. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026

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