🧑‍🔬 Ke Tran

🏛️ Affiliations

🎓University of AmsterdamAmsterdam · Netherlands2014–2024 · 8 paperscurrent🏢AmazonBerlin · Germany2020–2022 · 5 papers🏢AmazonSeattle · United States2020–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. From English To Foreign Languages: Transferring Pre-trained Language Models (2020 · 53 citations)
   The paper asks whether an English pretrained encoder can be reused for other languages on a small compute budget, instead of training a multilingual model from scratch.
2. What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation (2026)
   Iterative self-refinement means an LLM repeatedly revises its own draft translation. Earlier studies mostly applied it to sentences or paragraphs and reported only overall quality, so its behaviour on full documents was poorly understood. The authors ran a controlled study on WMT24-Literary across nine LLMs (Qwen2.5…

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. The Importance of Being Recurrent for Modeling Hierarchical Structure ↗arXiv:1803.03585 · no summary yetKe Tran, Arianna Bisazza, Christof Monz2018 · 228 citations
2. Recurrent Memory Networks for Language Modeling ↗Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetKe Tran, Arianna Bisazza, Christof Monz2016 · 107 citations
3. Unsupervised Neural Hidden Markov Models ↗Proceedings of the Workshop on Structured Prediction for NLP · no summary yetKe M. Tran et al.2016 · 81 citations
4. From English To Foreign Languages: Transferring Pre-trained Language ModelsarXiv:2002.07306Ke Tran2020 · 53 citations
5. Inducing Grammars with and for Neural Machine Translation ↗Proceedings of the 2nd Workshop on Neural Machine Translation and Generation · no summary yetYonatan Bisk, Ke Tran2018 · 25 citations
6. The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetDavid Stap et al.2024 · 22 citations
7. What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shaomu Tan, Dawei Zhu, Ke Tran, et al.2026

🤝 Co-authors here

5 co-authors with a page, the most papers together first.

• Bill Byrne
• Dawei Zhu
• Leonardo F. R. Ribeiro
• Michael Denkowski
• Shaomu Tan

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026
• Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
• Proceedings of the 2nd Workshop on Neural Machine Translation and Generation
• Proceedings of the Workshop on Structured Prediction for NLP

🔗 Cited by

Papers of our library cite their works 170 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated 1 November 2026

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