🧑‍🔬 Who cites Shimin Tao

116 citations of their works from 99 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · ← Shimin Tao

1. 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
2. Findings of the IWSLT 2022 Evaluation CampaignInternational Conference on Spoken Language Translation (IWSLT)Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.2022 · 177 citations
3. Findings of the WMT 2023 Shared Task on Quality EstimationConference on Machine Translation (WMT)Frederic Blain, Chrysoula Zerva, Ricardo Rei, et al.2023 · 129 citations
4. 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
5. ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation MetricsChantal Amrhein, Nikita Moghe, Liane Guillou2022 · 29 citations
6. Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsComputational LinguisticsNikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.2025 · 28 citations
7. M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaopeng Feng, Jiayuan Su, Jiamei Zheng, et al.2025 · 24 citations
8. VerIF: Verification Engineering for Reinforcement Learning in Instruction FollowingConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2025 · 18 citations
9. DeepTrans: Deep Reasoning Translation via Reinforcement LearningTransactions of the Association for Computational Linguistics (TACL)Jiaan Wang, Fandong Meng, Jie Zhou2026 · 11 citations
10. Explainability and Interpretability of Multilingual Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Lucas Resck, Isabelle Augenstein, Anna Korhonen2025 · 11 citations
11. SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine TranslationFindings of the Association for Computational LinguisticsWenjie Yang, Mao Zheng, Mingyang Song, et al.2026 · 10 citations
12. An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Sun, Qianlong Du, Fuwei Cui, et al.2025 · 10 citations
13. NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Liu, Siya Qi, Xinyu Wang, et al.2025 · 7 citations
14. Test-Time Scaling of Reasoning Models for Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Zihao Li, Shaoxiong Ji, Jörg Tiedemann2026 · 5 citations
15. MTQE.en-he: Machine Translation Quality Estimation for English-HebrewWorkshop on Language Models for Low-Resource LanguagesAndy Rosenbaum, Assaf Siani, Ilan Kernerman2026 · 2 citations
16. Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Amir Hossein Yari, Kalmit Kulkarni, Ahmad Raza Khan, et al.2026 · 1 citation
17. CEMT:Controllable Element-Oriented Machine Translation via Structured Linguistic ReasoningFindings of the Association for Computational LinguisticsLingling Shi, Haoyu Jin, Ruiyu Fang, et al.2026
18. Embedding Similarity Is Not Quality Estimation: Lessons from Replacing a Dedicated QE ModelAnnual Conference of the European Association for Machine Translation (EAMT)Dimitrios Zaikis, Andrea Biondo, Matthew Dixon, et al.2026
19. FeedTrans: Enhance Machine Translation via FeedbackTransactions of the Association for Computational Linguistics (TACL)Zengkui Sun, Jiali Zeng, Jiaan Wang, et al.2026
20. Learning to Translate by Translating: Stabilizing the Dual Loop via Semantic-Aware Self-EvolutionFindings of the Association for Computational LinguisticsKui Liu, Mingming Yin, Zuoli Tang, et al.2026
21. M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Linlong Xu, Heng Liu, et al.2026
22. PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement LearningFindings of the Association for Computational LinguisticsYunzhi Shen, Hao Zhou, Xin Huang, et al.2026

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