--- title: "Who cites Koichiro Yoshino — 161 papers of our library" description: "161 papers of the Elamur Research library cite the works of Koichiro Yoshino, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/koichiro-yoshino/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/koichiro-yoshino/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Koichiro Yoshino](https://md.research.elamur.ai/free/en/authors/koichiro-yoshino/) / cited by # Who cites Koichiro Yoshino 161 citations of their works from 161 papers of our library (of the 141,840 whose bibliographies we read) · 21 with a page here, the most cited first · [← Koichiro Yoshino](https://md.research.elamur.ai/free/en/authors/koichiro-yoshino/) 1. [**A Call for Clarity in Reporting BLEU Scores**Matt Post*2018 · 4,135 citations*](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/) 2. [**Achieving Human Parity on Automatic Chinese to English News Translation arXiv:1803.05567**Hany Hassan, Anthony Aue, Chang Chen, et al.*2018 · 797 citations*](https://md.research.elamur.ai/free/en/papers/hassan-2018-achieving-human-parity-automatic-chinese/) **[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* [**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/) [**Training Tips for the Transformer Model arXiv:1804.00247 · The Prague Bulletin of Mathematical Linguistics 110, April 2018, pp. 43-70**Martin Popel, Ondřej Bojar*2018 · 369 citations*](https://md.research.elamur.ai/free/en/papers/popel-2018-training-tips-transformer-model/) [**PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts arXiv:2306.04528**Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.*2023 · 303 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-promptrobust-towards-evaluating-robustness-large/) **[Adaptively Sparse Transformers](https://md.research.elamur.ai/free/en/papers/correia-2019-adaptively-sparse-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gonçalo M. Correia, Vlad Niculae, André F. T. Martins*2019 · 271 citations* **[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* **[Contextual Parameter Generation for Universal Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/platanios-2018-contextual-parameter-generation-universal-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, et al.*2018 · 205 citations* **[Findings of the 2021 Conference on Machine Translation (WMT21)](https://md.research.elamur.ai/free/en/papers/akhbardeh-2021-findings-2021-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, et al.*2021 · 189 citations* **[Findings of the IWSLT 2022 Evaluation Campaign](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2022-findings-iwslt-2022-evaluation-campaign/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.*2022 · 177 citations* **[FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 152 citations* [**DistiLLM: Towards Streamlined Distillation for Large Language Models arXiv:2402.03898**Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.*2024 · 111 citations*](https://md.research.elamur.ai/free/en/papers/ko-2024-distillm-towards-streamlined-distillation-large/) [**NTREX-128 – News Test References for MT Evaluation of 128 Languages Proceedings of the First Workshop on Scaling Up Multilingual Evaluation**Christian Federmann, Tom Kocmi, Ying Xin*2022 · 104 citations*](https://md.research.elamur.ai/free/en/papers/federmann-2022-ntrex-128-news-test-references/) **[On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons](https://md.research.elamur.ai/free/en/papers/kojima-2024-multilingual-ability-decoder-based-pre/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, et al.*2024 · 65 citations* **[Automatic Evaluation and Analysis of Idioms in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/baziotis-2023-automatic-evaluation-analysis-idioms-neural/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Christos Baziotis, Prashant Mathur, Eva Hasler*2023 · 40 citations* [**A unified approach to sentence segmentation of punctuated text in many languages**Rachel Wicks, Matt Post*2021 · 37 citations*](https://md.research.elamur.ai/free/en/papers/wicks-2021-unified-approach-sentence-segmentation-punctuated/) [**Prosodic entrainment in dialog acts arXiv:1810.12646**Uwe D. Reichel, Katalin Mady, Jennifer Cole*2018 · 6 citations*](https://md.research.elamur.ai/free/en/papers/reichel-2018-prosodic-entrainment-dialog-acts/) [**Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation**Wenbin Jiang, Wen Zhang, Jinan Xu, et al.*2016 · 1 citation*](https://md.research.elamur.ai/free/en/papers/jiang-2016-automatic-cross-lingual-similarization-dependency/) [**Character Iconicity vs. Arbitrariness: An Arabic NLP Perspective arXiv:2608.02935**Dorieh Alomari; Irfan Ahmad;, Maged S. Al-shaibani*2026*](https://md.research.elamur.ai/free/en/papers/alomari-2026-character-iconicity-vs-arbitrariness-arabic/) **[Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.*2026* 140 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/koichiro-yoshino/) — Koichiro Yoshino