--- title: "Tie-Yan Liu — papers of 2019 — 5 papers, the most cited first" description: "Tie-Yan Liu — papers of 2019: 5 papers on Elamur Research, the most cited first — what each work is about in our own words." canonical: "https://research.elamur.ai/free/en/authors/tie-yan-liu/year/2019/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tie-yan-liu/year/2019/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Tie-Yan Liu](https://md.research.elamur.ai/free/en/authors/tie-yan-liu/) / 2019 # Tie-Yan Liu — papers of 2019 — 5 papers, the most cited first 5 papers · [all years of Tie-Yan Liu](https://md.research.elamur.ai/free/en/authors/tie-yan-liu/#years) - [MASS: Masked Sequence to Sequence Pre-training for Language Generation arXiv:1905.02450](https://md.research.elamur.ai/free/en/papers/song-2019-mass-masked-sequence-sequence-pre/) — Kaitao Song, Xu Tan, Tao Qin, et al. · 2019 · 1,143 citations - [Representation Degeneration Problem in Training Natural Language Generation Models arXiv:1907.12009](https://md.research.elamur.ai/free/en/papers/gao-2019-representation-degeneration-problem-training-natural/) — Jun Gao, Di He, Xu Tan, et al. · 2019 · 181 citations **[Multilingual Neural Machine Translation with Language Clustering](https://md.research.elamur.ai/free/en/papers/tan-2019-multilingual-neural-machine-translation-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xu Tan, Jiale Chen, Di He, et al.*2019 · 172 citations* **[Soft Contextual Data Augmentation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gao-2019-soft-contextual-data-augmentation-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fei Gao, Jinhua Zhu, Lijun Wu, et al.*2019 · 172 citations* **[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 · 103 citations*