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Who cites «Sequence to Sequence Learning with Neural Networks»

3,346 papers of our library cite it (of the 149,439 whose bibliographies we read) · 445 with a page here, the most cited first · page 3 of 5 · 201–300 · ← back to «Sequence to Sequence Learning with Neural Networks»

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  1. Copied Monolingual Data Improves Low-Resource Neural Machine TranslationConference on Machine Translation (WMT)Anna Currey, Antonio Valerio Miceli Barone, Kenneth Heafield2017 · 298 citations
  2. What do RNN Language Models Learn about Filler-Gap Dependencies?arXiv:1809.00042Ethan Wilcox, Roger Levy, Takashi Morita, et al.2018 · 278 citations
  3. Retrieve and Refine: Improved Sequence Generation Models For DialogueProceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AIJason Weston, Emily Dinan, Alexander Miller2018 · 259 citations
  4. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence ModelsHarsh Jhamtani, Varun Gangal, Eduard Hovy, et al.2017 · 252 citations
  5. Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionarXiv:1411.4389Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.2014 · 245 citations
  6. Generative Language Modeling for Automated Theorem ProvingarXiv:2009.03393Stanislas Polu, Ilya Sutskever2020 · 241 citations
  7. A Deep Generative Framework for Paraphrase GenerationarXiv:1709.05074Ankush Gupta, Arvind Agarwal, Prawaan Singh, et al.2017 · 233 citations
  8. Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging TasksarXiv:1801.07772 · IJCNLP 8 (2017), volume 1, 1-10Yonatan Belinkov, Lluis Marquez, Hassan Sajjad, et al.2017 · 225 citations
  9. Reinforced Self-Training (ReST) for Language ModelingarXiv:2308.08998Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 224 citations
  10. Efficient softmax approximation for GPUsarXiv:1609.04309Edouard Grave, Armand Joulin, Moustapha Cisse, et al.2016 · 205 citations
  11. Retrieval Augmented Code Generation and SummarizationFindings of the Association for Computational LinguisticsMd Rizwan Parvez, Wasi Ahmad, Saikat Chakraborty, et al.2021 · 193 citations
  12. Representation of Linguistic Form and Function in Recurrent Neural NetworksComputational LinguisticsÁkos Kádár, Grzegorz Chrupała, Afra Alishahi2017 · 192 citations
  13. Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal ProofsarXiv:2210.12283Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, et al.2022 · 178 citations
  14. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
  15. From System 1 to System 2: A Survey of Reasoning Large Language ModelsarXiv:2502.17419Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, et al.2025 · 165 citations
  16. Style Transfer as Unsupervised Machine TranslationarXiv:1808.07894Zhirui Zhang, Shuo Ren, Shujie Liu, et al.2018 · 165 citations
  17. Compositionality decomposed: how do neural networks generalise?arXiv:1908.08351Dieuwke Hupkes, Verna Dankers, Mathijs Mul, et al.2019 · 162 citations
  18. Unsupervised Translation of Programming LanguagesarXiv:2006.03511Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.2020 · 160 citations
  19. Seq2seq Dependency ParsingInternational Conference on Computational Linguistics (COLING)Zuchao Li, Jiaxun Cai, Shexia He, et al.2018 · 153 citations

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