---
title: "Who cites Yingce Xia — 435 papers of our library"
description: "435 papers of the Elamur Research library cite the works of Yingce Xia, found in their bibliographies; the most cited first."
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---
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# Who cites Yingce Xia

446 citations of their works from 435 papers of our library (of the 141,840 whose bibliographies we read) · 51 with a page here, the most cited first · [← Yingce Xia](https://md.research.elamur.ai/free/en/authors/yingce-xia/)

1. [**MASS: Masked Sequence to Sequence Pre-training for Language Generation arXiv:1905.02450**Kaitao Song, Xu Tan, Tao Qin, et al.*2019 · 1,127 citations*](https://md.research.elamur.ai/free/en/papers/song-2019-mass-masked-sequence-sequence-pre/)
2. [**A Survey of Data Augmentation Approaches for NLP arXiv:2105.03075**Steven Y. Feng, Varun Gangal, Jason Wei, et al.*2021 · 937 citations*](https://md.research.elamur.ai/free/en/papers/feng-2021-survey-data-augmentation-approaches-nlp/)
3. **[Findings of the 2019 Conference on Machine Translation (WMT19)](https://md.research.elamur.ai/free/en/papers/barrault-2019-findings-2019-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.*2019 · 841 citations*
4. **[Findings of the 2018 Conference on Machine Translation (WMT18)](https://md.research.elamur.ai/free/en/papers/bojar-2018-findings-2018-conference-machine-translation/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Ondřej Bojar, Christian Federmann, Mark Fishel, et al.*2018 · 750 citations*
5. [**Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation**Markus Freitag, George Foster, David Grangier, et al.*2021 · 660 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/)
6. **[Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond](https://md.research.elamur.ai/free/en/papers/artetxe-2018-massively-multilingual-sentence-embeddings-zero/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Mikel Artetxe, Holger Schwenk*2018 · 629 citations*
7. [**Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges arXiv:1907.05019**Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.*2019 · 556 citations*](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-massively-multilingual-neural-machine-translation/)
8. **[Simple, Scalable Adaptation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/bapna-2019-simple-scalable-adaptation-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ankur Bapna, Orhan Firat*2019 · 526 citations*
9. **[Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation](https://md.research.elamur.ai/free/en/papers/zhang-2020-improving-massively-multilingual-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Biao Zhang, Philip Williams, Ivan Titov, et al.*2020 · 474 citations*
10. **[Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation](https://md.research.elamur.ai/free/en/papers/laubli-2018-has-machine-translation-achieved-human/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Samuel Läubli, Rico Sennrich, Martin Volk*2018 · 443 citations*
11. [**WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia arXiv:1907.05791**Holger Schwenk, Vishrav Chaudhary, Shuo Sun, et al.*2019 · 425 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2019-wikimatrix-mining-135m-parallel-sentences/)
12. [**Pay Less Attention with Lightweight and Dynamic Convolutions arXiv:1901.10430**Felix Wu, Angela Fan, Alexei Baevski, et al.*2019 · 424 citations*](https://md.research.elamur.ai/free/en/papers/wu-2019-pay-less-attention-lightweight-dynamic/)
13. [**Massively Multilingual Neural Machine Translation arXiv:1903.00089**Roee Aharoni, Melvin Johnson, Orhan Firat*2019 · 370 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2019-massively-multilingual-neural-machine-translation/)
14. **[The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English](https://md.research.elamur.ai/free/en/papers/guzman-2019-flores-evaluation-datasets-low-resource/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Francisco Guzmán, Peng-Jen Chen, Myle Ott, et al.*2019 · 363 citations*
15. **[Universal Neural Machine Translation for Extremely Low Resource Languages](https://md.research.elamur.ai/free/en/papers/gu-2018-universal-neural-machine-translation-extremely/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jiatao Gu, Hany Hassan, Jacob Devlin, et al.*2018 · 358 citations*
16. [**CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB arXiv:1911.04944**Holger Schwenk, Guillaume Wenzek, Sergey Edunov, et al.*2019 · 356 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2019-ccmatrix-mining-billions-high-quality/)
17. **[Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/toral-2018-attaining-unattainable-reassessing-claims-human/) [Conference on Machine Translation: Research Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-research-papers/)**Antonio Toral, Sheila Castilho, Ke Hu, et al.*2018 · 321 citations*
18. **[Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages](https://md.research.elamur.ai/free/en/papers/ramesh-2022-samanantar-largest-publicly-available-parallel/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al.*2022 · 307 citations*
19. **[An Analysis of Simple Data Augmentation for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/dai-2020-analysis-simple-data-augmentation-named/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Xiang Dai, Heike Adel*2020 · 266 citations*
20. **[Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing](https://md.research.elamur.ai/free/en/papers/thompson-2020-automatic-machine-translation-evaluation-many/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Brian Thompson, Matt Post*2020 · 259 citations*
21. **[Modeling Localness for Self-Attention Networks](https://md.research.elamur.ai/free/en/papers/yang-2018-modeling-localness-self-attention-networks/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Baosong Yang, Zhaopeng Tu, Derek F. Wong, et al.*2018 · 255 citations*
22. **[CorefQA: Coreference Resolution as Query-based Span Prediction](https://md.research.elamur.ai/free/en/papers/wu-2020-corefqa-coreference-resolution-as-query/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Wu, Fei Wang, Arianna Yuan, et al.*2020 · 254 citations*
23. **[An Empirical Survey of Data Augmentation for Limited Data Learning in NLP](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaao Chen, Derek Tam, Colin Raffel, et al.*2023 · 253 citations*
24. **[Survey of Low-Resource Machine Translation](https://md.research.elamur.ai/free/en/papers/haddow-2022-survey-low-resource-machine-translation/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Barry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, et al.*2022 · 251 citations*
25. **[A Study of Reinforcement Learning for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Fei Tian, Tao Qin, et al.*2018 · 234 citations*
26. **[Multilingual Translation from Denoising Pre-Training](https://md.research.elamur.ai/free/en/papers/tang-2021-multilingual-translation-denoising-pre-training/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuqing Tang, Chau Tran, Xian Li, et al.*2021 · 219 citations*
27. **[An Effective Approach to Unsupervised Machine Translation](https://md.research.elamur.ai/free/en/papers/artetxe-2019-effective-approach-unsupervised-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2019 · 203 citations*
28. [**IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages arXiv:2305.16307**Jay Gala, Pranjal A. Chitale, Raghavan AK, et al.*2023 · 200 citations*](https://md.research.elamur.ai/free/en/papers/gala-2023-indictrans2-towards-high-quality-accessible/)
29. **[Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corpora](https://md.research.elamur.ai/free/en/papers/dowmunt-2018-dual-conditional-cross-entropy-filtering/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Marcin Junczys-Dowmunt*2018 · 200 citations*
30. **[Filtering and Mining Parallel Data in a Joint Multilingual Space](https://md.research.elamur.ai/free/en/papers/schwenk-2018-filtering-mining-parallel-data-joint/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Holger Schwenk*2018 · 167 citations*
31. **[Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/artetxe-2019-margin-based-parallel-corpus-mining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mikel Artetxe, Holger Schwenk*2019 · 165 citations*
32. **[A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*
33. **[Statistical Power and Translationese in Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/graham-2020-statistical-power-translationese-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yvette Graham, Barry Haddow, Philipp Koehn*2020 · 150 citations*
34. **[Vecalign: Improved Sentence Alignment in Linear Time and Space](https://md.research.elamur.ai/free/en/papers/thompson-2019-vecalign-improved-sentence-alignment-linear/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Brian Thompson, Philipp Koehn*2019 · 144 citations*
35. **[A Simple and Effective Unified Encoder for Document-Level Machine Translation](https://md.research.elamur.ai/free/en/papers/ma-2020-simple-effective-unified-encoder-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuming Ma, Dongdong Zhang, Ming Zhou*2020 · 136 citations*
36. [**Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation arXiv:2006.10369**Jungo Kasai, Nikolaos Pappas, Hao Peng, et al.*2020 · 132 citations*](https://md.research.elamur.ai/free/en/papers/kasai-2020-deep-encoder-shallow-decoder-reevaluating/)
37. **[Adaptive Nearest Neighbor Machine Translation](https://md.research.elamur.ai/free/en/papers/zheng-2021-adaptive-nearest-neighbor-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xin Zheng, Zhirui Zhang, Junliang Guo, et al.*2021 · 120 citations*
38. **[Document-level Neural MT: A Systematic Comparison](https://md.research.elamur.ai/free/en/papers/lopes-2020-document-level-neural-mt-systematic/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**António Lopes, M. Amin Farajian, Rachel Bawden, et al.*2020 · 114 citations*
39. **[Simple and Effective Noisy Channel Modeling for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/yee-2019-simple-effective-noisy-channel-modeling/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kyra Yee, Yann Dauphin, Michael Auli*2019 · 104 citations*
40. **[Learning Language Specific Sub-network for Multilingual Machine Translation](https://md.research.elamur.ai/free/en/papers/lin-2021-learning-language-specific-sub-network/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zehui Lin, Liwei Wu, Mingxuan Wang, et al.*2021 · 103 citations*
41. **[Exploiting Monolingual Data at Scale for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2019-exploiting-monolingual-data-scale-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Yiren Wang, Yingce Xia, et al.*2019 · 102 citations*
42. **[BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation](https://md.research.elamur.ai/free/en/papers/jiang-2022-blonde-automatic-evaluation-metric-document/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yuchen Jiang, Tianyu Liu, Shuming Ma, et al.*2022 · 85 citations*
43. [**On Generalization in Coreference Resolution**Shubham Toshniwal, Patrick Xia, Sam Wiseman, et al.*2021 · 62 citations*](https://md.research.elamur.ai/free/en/papers/toshniwal-2021-generalization-coreference-resolution/)
44. **[CxGBERT: BERT meets Construction Grammar](https://md.research.elamur.ai/free/en/papers/madabushi-2020-cxgbert-bert-meets-construction-grammar/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Harish Tayyar Madabushi, Laurence Romain, Dagmar Divjak, et al.*2020 · 46 citations*
45. **[Facebook AI's WMT21 News Translation Task Submission](https://md.research.elamur.ai/free/en/papers/tran-2021-facebook-ai-s-wmt21-news/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Chau Tran, Shruti Bhosale, James Cross, et al.*2021 · 42 citations*
46. [**Fixing Translation Divergences in Parallel Corpora for Neural MT**MinhQuang Pham, Josep Crego, Jean Senellart, et al.*2018 · 24 citations*](https://md.research.elamur.ai/free/en/papers/pham-2018-fixing-translation-divergences-parallel-corpora/)
47. **[An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/konno-2020-empirical-study-contextual-data-augmentation/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, et al.*2020 · 9 citations*
48. **[UOM-Constrained IWSLT 2024 Shared Task Submission - Maltese Speech Translation](https://md.research.elamur.ai/free/en/papers/abela-2024-uom-constrained-iwslt-2024-shared/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Kurt Abela, Md Abdur Razzaq Riyadh, Melanie Galea, et al.*2024 · 2 citations*
49. **[Context-8: A Data Set for Evaluating Context Sensitivity in Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2026-context-8-data-set-evaluating/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dongyue Wang, Kyo Kageura*2026*
50. **[Diversity and Homogenisation in Generative AI Translation: A Comparative Study of English-Dutch Translation Across Domains](https://md.research.elamur.ai/free/en/papers/shterionov-2026-diversity-homogenisation-generative-ai-translation/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Dimitar Shterionov, Noa van Helleman, Eva Vanmassenhove*2026*
51. [**Machine Translation between English and Syriac (East Syriac Dialect) using Statistical Machine Learning**Hadiana Sliwa, Hossein Hassani*2026*](https://md.research.elamur.ai/free/en/papers/sliwa-2026-machine-translation-between-english-syriac/)

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