🧑‍🔬 Who cites Yu Wan

220 citations of their works from 216 papers of our library (of the 149,439 whose bibliographies we read) · 45 with a page here, the most cited first · ← Yu Wan

1. COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared TaskConference on Machine Translation (WMT)Ricardo Rei, José G. C. de Souza, Duarte Alves, et al.2022 · 435 citations
2. xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error DetectionTransactions of the Association for Computational Linguistics (TACL)Nuno M. Guerreiro, Ricardo Rei, Daan van Stigt, et al.2024 · 333 citations
3. CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared TaskConference on Machine Translation (WMT)Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro, et al.2022 · 325 citations
4. Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More RobustMarkus Freitag, Ricardo Rei, Nitika Mathur, et al.2022 · 265 citations
5. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
6. Tower: An Open Multilingual Large Language Model for Translation-Related TasksarXiv:2402.17733Duarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.2024 · 227 citations
7. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Shivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 207 citations
8. GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4Conference on Machine Translation (WMT)Tom Kocmi, Christian Federmann2023 · 192 citations
9. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesLanguage Resources and Evaluation Conference (LREC)Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 181 citations
10. Do Llamas Work in English? On the Latent Language of Multilingual TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Wendler, Veniamin Veselovsky, Giovanni Monea, et al.2024 · 177 citations
11. Norm-Based Curriculum Learning for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Xuebo Liu, Houtim Lai, Derek F. Wong, et al.2020 · 158 citations
12. Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
13. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsFindings of the Association for Computational LinguisticsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 136 citations
14. INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic FeedbackConference on Empirical Methods in Natural Language Processing (EMNLP)Wenda Xu, Danqing Wang, Liangming Pan, et al.2023 · 123 citations
15. Do Multilingual Language Models Think Better in English?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Julen Etxaniz, Gorka Azkune, Aitor Soroa, et al.2024 · 101 citations
16. SeaLLMs — Large Language Models for Southeast AsiaarXiv:2312.00738Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, et al.2023 · 92 citations
17. Findings of the WMT 2022 Shared Task on Quality EstimationConference on Machine Translation (WMT)Chrysoula Zerva, Frédéric Blain, Ricardo Rei, et al.2022 · 91 citations
18. Wider and Deeper LLM Networks are Fairer LLM EvaluatorsarXiv:2308.01862Xinghua Zhang, Bowen Yu, Haiyang Yu, et al.2023 · 75 citations
19. IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, et al.2024 · 48 citations
20. Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and SundaneseConference on Empirical Methods in Natural Language Processing (EMNLP)Rifki Afina Putri, Faiz Ghifari Haznitrama, Dea Adhista, et al.2024 · 38 citations
21. Fine-Tuned Machine Translation Metrics Struggle in Unseen DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Vilém Zouhar, Shuoyang Ding, Anna Currey, et al.2024 · 32 citations
22. Airavata: Introducing Hindi Instruction-tuned LLMarXiv:2401.15006Jay Gala, Thanmay Jayakumar, Jaavid Aktar Husain, et al.2024 · 31 citations
23. Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsComputational LinguisticsNikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.2025 · 28 citations
24. PLUG: Leveraging Pivot Language in Cross-Lingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, et al.2024 · 28 citations
25. GuoFeng: A Benchmark for Zero Pronoun Recovery and TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Mingzhou Xu, Longyue Wang, Derek F. Wong, et al.2022 · 18 citations
26. Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource TranslationConference on Machine Translation (WMT)Vivek Iyer; Bhavitvya Malik; Pavel Stepachev; Pinzhen Chen; Barry Haddow;, Alexandra Birch2024 · 17 citations
27. 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
28. TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought ProcessesarXiv:2311.10797Bibek Upadhayay, Vahid Behzadan2023 · 14 citations
29. Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 13 citations
30. SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages?Conference on Empirical Methods in Natural Language Processing (EMNLP)Senyu Li, Jiayi Wang, Felermino D. M. A. Ali, et al.2025 · 13 citations
31. Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Anirudh Sundar, Sinead Williamson, Katherine Metcalf, et al.2025 · 9 citations
32. Can Activation Steering Generalize Across Languages? A Study on Syllogistic Reasoning in Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Gabriele Maraia, Leonardo Ranaldi, Marco Valentino, et al.2026 · 5 citations
33. A Context-aware Framework for Translation-mediated ConversationsTransactions of the Association for Computational Linguistics (TACL)José Pombal, Sweta Agrawal, Emmanouil Zaranis, et al.2026 · 4 citations
34. Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Franziska Weeber, Tanise Ceron, Sebastian Padó2026 · 4 citations
35. What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yaning Jia, Chunhui Zhang, Xingjian Diao, et al.2026 · 4 citations
36. Llama-GENBA-10B: A Trilingual Large Language Model for German, English and BavarianarXiv:2509.05668Michael Hoffmann, Jophin John, Stefan Schweter, et al.2025 · 4 citations
37. 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
38. Controllable LLM Reasoning via Sparse Autoencoder-Based SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Fang, Wenjie Wang, Mingfeng Xue, et al.2026 · 3 citations
39. Qwen-Scope: Turning Sparse Features into Development Tools for Large Language ModelsarXiv:2605.11887Boyi Deng, Xu Wang, Yaoning Wang, et al.2026 · 3 citations
40. Deciphering Cultural Representations in Large Language Models via Sparse AutoencodersFindings of the Association for Computational LinguisticsChenye Zou, Difan Jiao, Lijie Hu2026 · 1 citation
41. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
42. Uncertainty Quantification for Evaluating Gender Bias in Machine TranslationFindings of the Association for Computational LinguisticsIeva Staliunaite, Julius Cheng, Andreas Vlachos2026 · 1 citation
43. Language-Aware Token Boosting: LLM Language Confusion Reduction Without TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng2026
44. Multilingual Language Models Encode Script Over Linguistic StructureAnnual Meeting of the Association for Computational Linguistics (ACL)Aastha A K Verma, Anwoy Chatterjee, Mehak Gupta, et al.2026
45. Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Shi, Zhuowen Han, Simon Ostermann, et al.2026

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