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Who cites Kishore Papineni

11,128 citations of their works from 11,112 papers of our library (of the 149,439 whose bibliographies we read) · 1,221 with a page here, the most cited first · page 1 of 13 · 1–100 · ← Kishore Papineni

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  1. Sequence to Sequence Learning with Neural NetworksarXiv:1409.3215Ilya Sutskever, Oriol Vinyals, Quoc V. Le2014 · 18,409 citations
  2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
  3. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human JudgmentsSatanjeev Banerjee, Alon Lavie2005 · 5,563 citations
  4. A Call for Clarity in Reporting BLEU ScoresMatt Post2018 · 4,152 citations
  5. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading BooksarXiv:1506.06724Yukun Zhu, Ryan Kiros, Richard Zemel, et al.2015 · 3,083 citations
  6. RoFormer: Enhanced Transformer with Rotary Position EmbeddingarXiv:2104.09864Jianlin Su, Yu Lu, Shengfeng Pan, et al.2021 · 3,028 citations
  7. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  8. Sparks of Artificial General Intelligence: Early experiments with GPT-4arXiv:2303.12712Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al.2023 · 2,439 citations
  9. Emergent Abilities of Large Language ModelsarXiv:2206.07682Jason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,269 citations
  10. chrF: character n-gram F-score for automatic MT evaluationMaja Popović2015 · 2,114 citations
  11. Microsoft COCO Captions: Data Collection and Evaluation ServerarXiv:1504.00325Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al.2015 · 1,948 citations
  12. Abstract Meaning Representation for SembankingLaura Banarescu, Claire Bonial, Shu Cai, et al.2013 · 1,917 citations
  13. COMET: A Neural Framework for MT EvaluationRicardo Rei, Craig Stewart, Ana C Farinha, et al.2020 · 1,792 citations
  14. RACE: Large-scale ReAding Comprehension Dataset From ExaminationsGuokun Lai, Qizhe Xie, Hanxiao Liu, et al.2017 · 1,638 citations
  15. Code Llama: Open Foundation Models for CodearXiv:2308.12950Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.2024 · 1,430 citations
  16. Sequence Level Training with Recurrent Neural NetworksarXiv:1511.06732Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al.2015 · 1,370 citations
  17. LaMDA: Language Models for Dialog ApplicationsarXiv:2201.08239Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,344 citations
  18. What Makes Good In-Context Examples for GPT-3?Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning ArchitecturesJiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,256 citations
  19. MS MARCO: A Human Generated MAchine Reading COmprehension DatasetarXiv:1611.09268Payal Bajaj, Daniel Campos, Nick Craswell, et al.2016 · 1,138 citations
  20. The NarrativeQA Reading Comprehension ChallengeTomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al.2018 · 1,042 citations
  21. PaLM 2 Technical ReportarXiv:2305.10403Rohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 1,000 citations
  22. Style Transfer from Non-Parallel Text by Cross-AlignmentTianxiao Shen, Tao Lei, Regina Barzilay, et al.2017 · 979 citations
  23. Findings of the 2016 Conference on Machine TranslationConference on Machine Translation: Shared Task PapersOndřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2016 · 940 citations
  24. Findings of the 2014 Workshop on Statistical Machine TranslationConference on Machine Translation (WMT)Ondřej Bojar, Christian Buck, Christian Federmann, et al.2014 · 935 citations
  25. Modeling Local Coherence: An Entity-Based ApproachComputational LinguisticsRegina Barzilay, Mirella Lapata2008 · 917 citations
  26. Findings of the 2019 Conference on Machine Translation (WMT19)Conference on Machine Translation (WMT)Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.2019 · 847 citations
  27. CIDEr: Consensus-based Image Description EvaluationarXiv:1411.5726Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh2014 · 827 citations
  28. Paraphrasing with Bilingual Parallel CorporaColin Bannard, Chris Callison-Burch2005 · 823 citations
  29. BARTScore: Evaluating Generated Text as Text GenerationarXiv:2106.11520Weizhe Yuan, Graham Neubig, Pengfei Liu2021 · 815 citations
  30. XLS-R: Self-supervised Cross-lingual Speech Representation Learning at ScaleInterspeechArun Babu, Changhan Wang, Andros Tjandra, et al.2021 · 807 citations
  31. Achieving Human Parity on Automatic Chinese to English News TranslationarXiv:1803.05567Hany Hassan, Anthony Aue, Chang Chen, et al.2018 · 799 citations
  32. Non-Autoregressive Neural Machine TranslationarXiv:1711.02281Jiatao Gu, James Bradbury, Caiming Xiong, et al.2017 · 793 citations
  33. Show and Tell: A Neural Image Caption GeneratorarXiv:1411.4555Oriol Vinyals, Alexander Toshev, Samy Bengio, et al.2014 · 729 citations
  34. Crosslingual Generalization through Multitask FinetuningarXiv:2211.01786Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 703 citations
  35. DialoGPT: Large-Scale Generative Pre-training for Conversational Response GenerationarXiv:1911.00536Yizhe Zhang, Siqi Sun, Michel Galley, et al.2019 · 696 citations
  36. Findings of the 2017 Conference on Machine Translation (WMT17)Conference on Machine Translation (WMT)Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2017 · 691 citations
  37. Why We Need New Evaluation Metrics for NLGConference on Empirical Methods in Natural Language Processing (EMNLP)Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, et al.2017 · 690 citations
  38. Unsupervised Machine Translation Using Monolingual Corpora OnlyarXiv:1711.00043Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al.2017 · 669 citations
  39. Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell SwoopNizar Habash, Owen Rambow2005 · 635 citations
  40. Is ChatGPT A Good Translator? Yes With GPT-4 As The EnginearXiv:2301.08745Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, et al.2023 · 632 citations
  41. Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence AlignmentRegina Barzilay, Lillian Lee2003 · 622 citations
  42. Towards a Unified View of Parameter-Efficient Transfer LearningarXiv:2110.04366Junxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 619 citations
  43. Deep Visual-Semantic Alignments for Generating Image DescriptionsarXiv:1412.2306Andrej Karpathy, Li Fei-Fei2014 · 608 citations
  44. Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction TasksarXiv:1608.04207Yossi Adi, Einat Kermany, Yonatan Belinkov, et al.2016 · 599 citations
  45. (Meta-) Evaluation of Machine TranslationConference on Machine Translation (WMT)Chris Callison-Burch, Cameron Fordyce, Philipp Koehn, et al.2007 · 593 citations
  46. Towards a Human-like Open-Domain ChatbotarXiv:2001.09977Daniel Adiwardana, Minh-Thang Luong, David R. So, et al.2020 · 592 citations
  47. The WebNLG Challenge: Generating Text from RDF DataClaire Gardent, Anastasia Shimorina, Shashi Narayan, et al.2017 · 583 citations
  48. Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style TransferSudha Rao, Joel Tetreault2018 · 582 citations
  49. Massively Multilingual Neural Machine Translation in the Wild: Findings and ChallengesarXiv:1907.05019Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.2019 · 564 citations

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