🧑‍🔬 Who cites Dhananjay Ram

172 citations of their works from 172 papers of our library (of the 149,439 whose bibliographies we read) · 30 with a page here, the most cited first · ← Dhananjay Ram

1. LongT5: Efficient Text-To-Text Transformer for Long SequencesFindings of the Association for Computational LinguisticsMandy Guo, Joshua Ainslie, David Uthus, et al.2022 · 399 citations
2. ETC: Encoding Long and Structured Inputs in TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Ainslie, Santiago Ontañón, Chris Alberti, et al.2020 · 386 citations
3. When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical CohesionAnnual Meeting of the Association for Computational Linguistics (ACL)Elena Voita, Rico Sennrich, Ivan Titov2019 · 323 citations
4. Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseConference on Neural Information Processing Systems (NeurIPS)Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.2023 · 310 citations
5. Selective Attention for Context-aware Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sameen Maruf, André F. T. Martins, Gholamreza Haffari2019 · 263 citations
6. Pre-training via ParaphrasingarXiv:2006.15020Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.2020 · 187 citations
7. Context-Aware Monolingual Repair for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Elena Voita, Rico Sennrich, Ivan Titov2019 · 161 citations
8. Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors PersistConference on Machine Translation (WMT)Marzena Karpinska, Mohit Iyyer2023 · 156 citations
9. A Simple and Effective Unified Encoder for Document-Level Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shuming Ma, Dongdong Zhang, Ming Zhou2020 · 136 citations
10. When and Why is Document-level Context Useful in Neural Machine Translation?Workshop on Discourse in Machine TranslationYunsu Kim, Duc Thanh Tran, Hermann Ney2019 · 124 citations
11. Document-level Neural MT: A Systematic ComparisonAnnual Conference of the European Association for Machine Translation (EAMT)António Lopes, M. Amin Farajian, Rachel Bawden, et al.2020 · 115 citations
12. G-Transformer for Document-Level Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Guangsheng Bao, Yue Zhang, Zhiyang Teng, et al.2021 · 109 citations
13. Rethinking Document-level Neural Machine TranslationFindings of the Association for Computational LinguisticsZewei Sun, Mingxuan Wang, Hao Zhou, et al.2022 · 107 citations
14. DOC: Improving Long Story Coherence With Detailed Outline ControlAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Yang, Dan Klein, Nanyun Peng, et al.2023 · 83 citations
15. Better Document-Level Machine Translation with Bayes' RuleTransactions of the Association for Computational Linguistics (TACL)Lei Yu, Laurent Sartran, Wojciech Stokowiec, et al.2020 · 72 citations
16. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
17. DiscoScore: Evaluating Text Generation with BERT and Discourse CoherenceConference of the European Chapter of the Association for Computational Linguistics (EACL)Wei Zhao, Michael Strube, Steffen Eger2023 · 53 citations
18. A Survey of On-Policy Distillation for Large Language ModelsarXiv:2604.00626Mingyang Song, Mao Zheng2026 · 41 citations
19. Self-Distilled RLVRarXiv:2604.03128Chenxu Yang, Chuanyu Qin, Qingyi Si, et al.2026 · 37 citations
20. Findings of the WMT 2020 Shared Task on Chat TranslationConference on Machine Translation (WMT)M. Amin Farajian, António V. Lopes, André F. T. Martins, et al.2020 · 29 citations
21. Context-aware Neural Machine Translation with Coreference InformationWorkshop on Discourse in Machine TranslationTakumi Ohtani, Hidetaka Kamigaito, Masaaki Nagata, et al.2019 · 19 citations
22. AFRIDOC-MT: Document-level MT Corpus for African LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Jesujoba Oluwadara Alabi, Israel Abebe Azime, Miaoran Zhang, et al.2025 · 13 citations
23. Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy DistillationarXiv:2604.13010Yecheng Wu, Song Han, Han Cai2026 · 10 citations
24. HDPO: Hybrid Distillation Policy Optimization via Privileged Self-DistillationarXiv:2603.23871Ken Ding2026 · 8 citations
25. Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level AnnotationArabic Natural Language Processing Workshop (WANLP)Elisa Gugliotta, Marco Dinarelli, Olivier Kraif2020 · 7 citations
26. Self-Distilled Policy GradientarXiv:2606.04036Yifeng Liu, Shiyuan Zhang, Yifan Zhang, et al.2026 · 5 citations
27. Discourse Graph Guided Document Translation with Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Viet Thanh Pham, Minghan Wang, Hao-Han Liao, et al.2026 · 1 citation
28. Unlocking Latent Discourse Translation in LLMs Through Quality-Aware DecodingConference of the European Chapter of the Association for Computational Linguistics (EACL)Wafaa Mohammed, Vlad Niculae, Chrysoula Zerva2026 · 1 citation
29. The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL PlatformAnnual Conference of the European Association for Machine Translation (EAMT)Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.2026
30. Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)Journal of SoftwareXinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.2024

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