---
title: "Who cites Rethinking Document-level Neural — 64 citing papers"
description: "64 papers of the Elamur Research library cite «Rethinking Document-level Neural Machine Translation», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/sun-2022-rethinking-document-level-neural-machine/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Rethinking Document-level Neural Machine…](https://md.research.elamur.ai/free/en/papers/sun-2022-rethinking-document-level-neural-machine/) / cited by

# Who cites «Rethinking Document-level Neural Machine Translation»

64 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Rethinking Document-level Neural Machine Translation»](https://md.research.elamur.ai/free/en/papers/sun-2022-rethinking-document-level-neural-machine/)

1. **[Document-Level Machine Translation with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-document-level-machine-translation-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Longyue Wang, Chenyang Lyu, Tianbo Ji, et al.*2023 · 296 citations*
2. [**Prompting Large Language Model for Machine Translation: A Case Study arXiv:2301.07069**Biao Zhang, Barry Haddow, Alexandra Birch*2023 · 293 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-prompting-large-language-model-machine/)
3. **[Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)](https://md.research.elamur.ai/free/en/papers/lv-2024-document-level-neural/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.*2024*

61 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/sun-2022-rethinking-document-level-neural-machine/) — Rethinking Document-level Neural Machine Translation
