--- title: "Who cites Yu Chen — 197 papers of our library" description: "197 papers of the Elamur Research library cite the works of Yu Chen, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/yu-chen/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yu-chen/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yu Chen](https://md.research.elamur.ai/free/en/authors/yu-chen/) / cited by # Who cites Yu Chen 197 citations of their works from 197 papers of our library (of the 141,840 whose bibliographies we read) · 21 with a page here, the most cited first · [← Yu Chen](https://md.research.elamur.ai/free/en/authors/yu-chen/) 1. [**PPDB: The Paraphrase Database**Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch*2013 · 965 citations*](https://md.research.elamur.ai/free/en/papers/ganitkevitch-2013-ppdb-paraphrase-database/) 2. **[WIT3: Web Inventory of Transcribed and Translated Talks](https://md.research.elamur.ai/free/en/papers/cettolo-2012-wit3-web-inventory-transcribed-translated/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Mauro Cettolo, Christian Girardi, Marcello Federico*2012 · 710 citations* 3. **[The United Nations Parallel Corpus v1.0](https://md.research.elamur.ai/free/en/papers/ziemski-2016-united-nations-parallel-corpus-v1/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Michał Ziemski, Marcin Junczys-Dowmunt, Bruno Pouliquen*2016 · 525 citations* 4. [**Farasa: A Fast and Furious Segmenter for Arabic**Ahmed Abdelali, Kareem Darwish, Nadir Durrani, et al.*2016 · 507 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2016-farasa-fast-furious-segmenter-arabic/) 5. [**Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison**Alessandro Raganato, Jose Camacho-Collados, Roberto Navigli*2017 · 484 citations*](https://md.research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/) 6. [**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/) 7. [**FlauBERT: Unsupervised Language Model Pre-training for French arXiv:1912.05372**Hang Le, Loïc Vial, Jibril Frej, et al.*2019 · 297 citations*](https://md.research.elamur.ai/free/en/papers/le-2019-flaubert-unsupervised-language-model-pre/) 8. **[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* 9. [**Tower: An Open Multilingual Large Language Model for Translation-Related Tasks arXiv:2402.17733**Duarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/alves-2024-tower-open-multilingual-large-language/) 10. **[MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention](https://md.research.elamur.ai/free/en/papers/jiang-2024-minference-1-0-accelerating-pre/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.*2024 · 197 citations* 11. **[Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/dalvi-2018-incremental-decoding-training-methods-simultaneous/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Fahim Dalvi, Nadir Durrani, Hassan Sajjad, et al.*2018 · 148 citations* 12. **[In-Context Learning with Long-Context Models: An In-Depth Exploration](https://md.research.elamur.ai/free/en/papers/bertsch-2025-context-learning-long-context-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Amanda Bertsch, Maor Ivgi, Emily Xiao, et al.*2025 · 75 citations* 13. **[Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA](https://md.research.elamur.ai/free/en/papers/wang-2024-leave-no-document-behind-benchmarking/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minzheng Wang, Longze Chen, Fu Cheng, et al.*2024 · 71 citations* 14. [**A Comprehensive Survey on Long Context Language Modeling arXiv:2503.17407**Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/) 15. [**Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models**Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, et al.*2019 · 20 citations*](https://md.research.elamur.ai/free/en/papers/torregrosa-2019-leveraging-rule-based-machine-translation/) 16. [**Jais 2: A Family of Arabic-Centric Open Large Language Models arXiv:2608.13580**Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.*2026 · 14 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2026-jais-2-family-arabic-centric/) 17. [**Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English arXiv:2104.01443**Imane Guellil, Ahsan Adeel, Faical Azouaou, et al.*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/guellil-2021-sexism-detection-first-corpus-algerian/) 18. [**Predicting and Using a Pragmatic Component of Lexical Aspect of Simple Past Verbal Tenses for Improving English-to-French Machine Translation**Sharid Loáiciga, Cristina Grisot*2016 · 5 citations*](https://md.research.elamur.ai/free/en/papers/loaiciga-2016-predicting-pragmatic-component-lexical-aspect/) 19. [**ASCAT: An Arabic Scientific Corpus and Benchmark for Advanced Translation Evaluation arXiv:2604.00015**Serry Sibaee, Khloud Al Jallad, Zineb Yousfi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sibaee-2026-ascat-arabic-scientific-corpus-benchmark/) 20. **[ASCAT: Arabic Scientific Benchmark for Advanced Translation Evaluation](https://md.research.elamur.ai/free/en/papers/sibaee-2026-ascat-arabic-scientific-benchmark-advanced/) [Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLING](https://md.research.elamur.ai/free/en/venues/osact/)**Serry Sibaee, Khloud Al Jallad, Zineb Yousfi, et al.*2026* 21. **[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* 176 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/yu-chen/) — Yu Chen