🧑‍🔬 Who cites Xian-Ling Mao

262 citations of their works from 238 papers of our library (of the 141,840 whose bibliographies we read) · 19 with a page here, the most cited first · ← Xian-Ling Mao

1. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,396 citations
2. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingarXiv:2111.09543Pengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,316 citations
3. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondarXiv:2304.13712Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 811 citations
4. 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 · 433 citations
5. 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
6. XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Sebastian Ruder, Noah Constant, Jan Botha, et al.2021 · 277 citations
7. The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsAnnual Meeting of the Association for Computational Linguistics (ACL)Lucas Bandarkar, Davis Liang, Benjamin Muller, et al.2023 · 259 citations
8. Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingarXiv:2305.07004Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023 · 224 citations
9. Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared TaskConference on Machine Translation (WMT)Ricardo Rei, Nuno M. Guerreiro, José Pombal, et al.2023 · 135 citations
10. SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and DialectsarXiv:2309.07445David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al.2023 · 135 citations
11. ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual CorporaConference on Empirical Methods in Natural Language Processing (EMNLP)Xuan Ouyang, Shuohuan Wang, Chao Pang, et al.2020 · 127 citations
12. XLM-E: Cross-lingual Language Model Pre-training via ELECTRAAnnual Meeting of the Association for Computational Linguistics (ACL)Zewen Chi, Shaohan Huang, Li Dong, et al.2022 · 126 citations
13. Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language CapabilitiesarXiv:2404.17790Kazuki Fujii, Taishi Nakamura, Mengsay Loem, et al.2024 · 114 citations
14. Identifying Elements Essential for BERT's MultilingualityConference on Empirical Methods in Natural Language Processing (EMNLP)Philipp Dufter, Hinrich Schütze2020 · 112 citations
15. 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
16. Beyond Correlation: Interpretable Evaluation of Machine Translation MetricsStefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, et al.2024 · 15 citations
17. MTQE.en-he: Machine Translation Quality Estimation for English-HebrewWorkshop on Language Models for Low-Resource LanguagesAndy Rosenbaum, Assaf Siani, Ilan Kernerman2026 · 2 citations
18. Hurdles of Automatic Metric for Speech Translation EvaluationInternational Conference on Spoken Language Translation (IWSLT)Victor Eugen Zarzu, Vilem Zouhar2026 · 1 citation
19. PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Lorenzo Proietti, Roman Grundkiewicz, Matt Post2026 · 1 citation

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