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Who cites Cliff Young

1,978 citations of their works from 1,955 papers of our library (of the 149,439 whose bibliographies we read) · 329 with a page here, the most cited first · page 1 of 4 · 1–100 · ← Cliff Young

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  1. BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jacob Devlin, Ming-Wei Chang, Kenton Lee, et al.2019 · 56,209 citations
  2. Attention Is All You NeedarXiv:1706.03762Ashish Vaswani, Noam Shazeer, Niki Parmar, et al.2017 · 17,458 citations
  3. 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
  4. A Comprehensive Survey on Graph Neural NetworksIEEE Transactions on Neural Networks and Learning SystemsZonghan Wu, Shirui Pan, Fengwen Chen, et al.2019 · 10,312 citations
  5. BioBERT: a pre-trained biomedical language representation model for biomedical text miningBioinformaticsJinhyuk Lee, Wonjin Yoon, Sungdong Kim, et al.2019 · 8,339 citations
  6. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 citations
  7. Neural Architecture Search with Reinforcement LearningarXiv:1611.01578Barret Zoph, Quoc V. Le2016 · 4,413 citations
  8. A Call for Clarity in Reporting BLEU ScoresMatt Post2018 · 4,152 citations
  9. Neural Message Passing for Quantum ChemistryarXiv:1704.01212Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.2017 · 3,793 citations
  10. SciBERT: A Pretrained Language Model for Scientific TextConference on Empirical Methods in Natural Language Processing (EMNLP)Iz Beltagy, Kyle Lo, Arman Cohan2019 · 3,582 citations
  11. Scaling Laws for Neural Language ModelsarXiv:2001.08361Jared Kaplan, Sam McCandlish, Tom Henighan, et al.2020 · 3,434 citations
  12. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  13. Convolutional Sequence to Sequence LearningarXiv:1705.03122Jonas Gehring, Michael Auli, David Grangier, et al.2017 · 3,042 citations
  14. CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesFindings of the Association for Computational LinguisticsZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2,967 citations
  15. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  16. Self-Attention with Relative Position RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Peter Shaw, Jakob Uszkoreit, Ashish Vaswani2018 · 2,848 citations
  17. ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942Zhenzhong Lan, Mingda Chen, Sebastian Goodman, et al.2019 · 2,806 citations
  18. OpenNMT: Open-Source Toolkit for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Guillaume Klein, Yoon Kim, Yuntian Deng, et al.2017 · 2,475 citations
  19. UNITER: UNiversal Image-TExt Representation LearningLecture notes in computer scienceYen-Chun Chen, Linjie Li, Licheng Yu, et al.2019 · 2,418 citations
  20. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksarXiv:1908.02265Jiasen Lu, Dhruv Batra, Devi Parikh, et al.2019 · 2,302 citations
  21. Text Summarization with Pretrained EncodersConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Liu, Mirella Lapata2019 · 2,095 citations
  22. On Faithfulness and Factuality in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Joshua Maynez, Shashi Narayan, Bernd Bohnet, et al.2020 · 1,857 citations
  23. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777Jingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,828 citations
  24. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Omar Khattab, Matei Zaharia2020 · 1,789 citations
  25. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  26. A Deep Reinforced Model for Abstractive SummarizationarXiv:1705.04304Romain Paulus, Caiming Xiong, Richard Socher2017 · 1,657 citations
  27. Subword Regularization: Improving Neural Network Translation Models with Multiple Subword CandidatesAnnual Meeting of the Association for Computational Linguistics (ACL)Taku Kudo2018 · 1,573 citations
  28. VisualBERT: A Simple and Performant Baseline for Vision and LanguagearXiv:1908.03557Liunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,568 citations
  29. Pre-Training with Whole Word Masking for Chinese BERTIEEE/ACM Transactions on Audio Speech and Language ProcessingYiming Cui, Wanxiang Che, Ting Liu, et al.2019 · 1,490 citations
  30. Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained AspectsConference on Empirical Methods in Natural Language Processing (EMNLP)Jianmo Ni, Jiacheng Li, Julian McAuley2019 · 1,435 citations
  31. Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197Li Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,422 citations
  32. VideoBERT: A Joint Model for Video and Language Representation LearningIEEE/CVF International Conference on Computer Vision (ICCV)Chen Sun, Austin Myers, Carl Vondrick, et al.2019 · 1,345 citations
  33. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
  34. MASS: Masked Sequence to Sequence Pre-training for Language GenerationarXiv:1905.02450Kaitao Song, Xu Tan, Tao Qin, et al.2019 · 1,143 citations
  35. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsarXiv:1908.08530Weijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,066 citations
  36. ERNIE: Enhanced Representation through Knowledge IntegrationarXiv:1904.09223Yu Sun, Shuohuan Wang, Yukun Li, et al.2019 · 962 citations
  37. Bottom-Up Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Sebastian Gehrmann, Yuntian Deng, Alexander Rush2018 · 947 citations
  38. Challenges in Data-to-Document GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sam Wiseman, Stuart M. Shieber, Alexander M. Rush2017 · 856 citations
  39. Black-box Generation of Adversarial Text Sequences to Evade Deep Learning ClassifiersarXiv:1801.04354Ji Gao, Jack Lanchantin, Mary Lou Soffa, et al.2018 · 840 citations
  40. Reformer: The Efficient TransformerarXiv:2001.04451Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya2020 · 829 citations
  41. Learning Deep Transformer Models for Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Qiang Wang, Bei Li, Tong Xiao, et al.2019 · 810 citations
  42. Achieving Human Parity on Automatic Chinese to English News TranslationarXiv:1803.05567Hany Hassan, Anthony Aue, Chang Chen, et al.2018 · 799 citations
  43. Non-Autoregressive Neural Machine TranslationarXiv:1711.02281Jiatao Gu, James Bradbury, Caiming Xiong, et al.2017 · 793 citations
  44. Revisiting Pre-Trained Models for Chinese Natural Language ProcessingarXiv:2004.13922Yiming Cui, Wanxiang Che, Ting Liu, et al.2020 · 790 citations
  45. Colorless Green Recurrent Networks Dream HierarchicallyConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kristina Gulordava, Piotr Bojanowski, Edouard Grave, et al.2018 · 765 citations
  46. Findings of the 2018 Conference on Machine Translation (WMT18)Conference on Machine Translation: Shared Task PapersOndřej Bojar, Christian Federmann, Mark Fishel, et al.2018 · 753 citations
  47. A Novel Cascade Binary Tagging Framework for Relational Triple ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhepei Wei, Jianlin Su, Yue Wang, et al.2020 · 736 citations
  48. SPECTER: Document-level Representation Learning using Citation-informed TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Arman Cohan, Sergey Feldman, Iz Beltagy, et al.2020 · 697 citations
  49. The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural NetworksarXiv:1802.08232Nicholas Carlini, Chang Liu, Ulfar Erlingsson, et al.2018 · 692 citations
  50. Efficient Content-Based Sparse Attention with Routing TransformersTransactions of the Association for Computational Linguistics (TACL)Aurko Roy, Mohammad Saffar, Ashish Vaswani, et al.2020 · 677 citations
  51. Unsupervised Machine Translation Using Monolingual Corpora OnlyarXiv:1711.00043Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al.2017 · 669 citations
  52. Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence TaggingConference on Empirical Methods in Natural Language Processing (EMNLP)Nils Reimers, Iryna Gurevych2017 · 652 citations
  53. LayoutLMv2: Multi-modal Pre-training for Visually-rich Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Xu, Yiheng Xu, Tengchao Lv, et al.2021 · 627 citations
  54. BloombergGPT: A Large Language Model for FinancearXiv:2303.17564Shijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 618 citations
  55. What do you learn from context? Probing for sentence structure in contextualized word representationsarXiv:1905.06316Ian Tenney, Patrick Xia, Berlin Chen, et al.2019 · 602 citations
  56. QANet: Combining Local Convolution with Global Self-Attention for Reading ComprehensionarXiv:1804.09541Adams Wei Yu, David Dohan, Minh-Thang Luong, et al.2018 · 597 citations
  57. PAWS: Paraphrase Adversaries from Word ScramblingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yuan Zhang, Jason Baldridge, Luheng He2019 · 596 citations
  58. Massive Exploration of Neural Machine Translation ArchitecturesConference on Empirical Methods in Natural Language Processing (EMNLP)Denny Britz, Anna Goldie, Minh-Thang Luong, et al.2017 · 574 citations
  59. Leveraging Pre-trained Checkpoints for Sequence Generation TasksTransactions of the Association for Computational Linguistics (TACL)Sascha Rothe, Shashi Narayan, Aliaksei Severyn2019 · 564 citations
  60. Massively Multilingual Neural Machine Translation in the Wild: Findings and ChallengesarXiv:1907.05019Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.2019 · 564 citations
  61. The Best of Both Worlds: Combining Recent Advances in Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Mia Xu Chen, Orhan Firat, Ankur Bapna, et al.2018 · 559 citations
  62. Fully Character-Level Neural Machine Translation without Explicit SegmentationTransactions of the Association for Computational Linguistics (TACL)Jason Lee, Kyunghyun Cho, Thomas Hofmann2017 · 553 citations
  63. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
  64. Simple, Scalable Adaptation for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Ankur Bapna, Orhan Firat2019 · 530 citations
  65. Lexically Constrained Decoding for Sequence Generation Using Grid Beam SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Hokamp, Qun Liu2017 · 524 citations
  66. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
  67. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
  68. A Convolutional Encoder Model for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Jonas Gehring, Michael Auli, David Grangier, et al.2017 · 492 citations
  69. What do Neural Machine Translation Models Learn about Morphology?Annual Meeting of the Association for Computational Linguistics (ACL)Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, et al.2017 · 487 citations
  70. HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-trainingConference on Empirical Methods in Natural Language Processing (EMNLP)Linjie Li, Yen-Chun Chen, Yu Cheng, et al.2020 · 481 citations
  71. Orca: A Distributed Serving System for Transformer-Based Generative ModelsOSDI 2022Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, et al.2022 · 478 citations
  72. ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicarXiv:2101.01785 · ACL-2021 camera ready versionMuhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi2021 · 478 citations
  73. When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ye Qi, Devendra Sachan, Matthieu Felix, et al.2018 · 474 citations
  74. Learning to Generate Reviews and Discovering SentimentarXiv:1704.01444Alec Radford, Rafal Jozefowicz, Ilya Sutskever2017 · 474 citations
  75. Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTarXiv:1904.09077Shijie Wu, Mark Dredze2019 · 471 citations
  76. Hierarchical Transformers for Multi-Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Mirella Lapata2019 · 468 citations
  77. From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al.2020 · 463 citations
  78. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackConference on Neural Information Processing Systems (NeurIPS)Yann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 456 citations
  79. Exploring Pre-trained Language Models for Event Extraction and GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sen Yang, Dawei Feng, Linbo Qiao, et al.2019 · 454 citations
  80. How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.2021 · 449 citations
  81. In-Datacenter Performance Analysis of a Tensor Processing UnitarXiv:1704.04760Norman P. Jouppi; Cliff Young; Nishant Patil; David Patterson; Gaurav Agrawal; Raminder Bajwa; Sarah Bates; Suresh Bhatia; Nan Boden; Al Borchers; Rick Boyle; Pierre-luc Cantin; Clifford Chao; Chris Clark; Jeremy Coriell; Mike Daley; Matt Dau; Jeffrey Dean; Ben Gelb; Tara Vazir Ghaemmaghami; Rajendra Gottipati; William Gulland; Robert Hagmann; C. Richard Ho; Doug Hogberg; John Hu; Robert Hundt; Dan Hurt; Julian Ibarz; Aaron Jaffey; Alek Jaworski; Alexander Kaplan; Harshit Khaitan; Andy Koch; Naveen Kumar; Steve Lacy; James Laudon; James Law; Diemthu Le; Chris Leary; Zhuyuan Liu; Kyle Lucke; Alan Lundin; Gordon MacKean; Adriana Maggiore; Maire Mahony; Kieran Miller; Rahul Nagarajan; Ravi Narayanaswami; Ray Ni; Kathy Nix; Thomas Norrie; Mark Omernick; Narayana Penukonda; Andy Phelps; Jonathan Ross; Matt Ross; Amir Salek; Emad Samadiani; Chris Severn; Gregory Sizikov; Matthew Snelham; Jed Souter; Dan Steinberg; Andy Swing; Mercedes Tan; Gregory Thorson; Bo Tian; Horia Toma; Erick Tuttle; Vijay Vasudevan; Richard Walter; Walter Wang; Eric Wilcox;, Doe Hyun Yoon2017 · 449 citations
  82. Masked Language Model ScoringAnnual Meeting of the Association for Computational Linguistics (ACL)Julian Salazar, Davis Liang, Toan Q. Nguyen, et al.2020 · 447 citations
  83. Has Machine Translation Achieved Human Parity? A Case for Document-level EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Samuel Läubli, Rico Sennrich, Martin Volk2018 · 444 citations
  84. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
  85. Deep Communicating Agents for Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al.2018 · 440 citations
  86. Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Matt Post, David Vilar2018 · 439 citations
  87. Pay Less Attention with Lightweight and Dynamic ConvolutionsarXiv:1901.10430Felix Wu, Angela Fan, Alexei Baevski, et al.2019 · 437 citations
  88. Generating Sentences by Editing PrototypesTransactions of the Association for Computational Linguistics (TACL)Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, et al.2017 · 425 citations
  89. Neural AMR: Sequence-to-Sequence Models for Parsing and GenerationIoannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.2017 · 425 citations
  90. Unsupervised Neural Machine TranslationarXiv:1710.11041Mikel Artetxe, Gorka Labaka, Eneko Agirre, et al.2017 · 424 citations
  91. 75 Languages, 1 Model: Parsing Universal Dependencies UniversallyDan Kondratyuk, Milan Straka2019 · 415 citations
  92. Document-Level Neural Machine Translation with Hierarchical Attention NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, et al.2018 · 415 citations
  93. Automatic Detection of Generated Text is Easiest when Humans are FooledAnnual Meeting of the Association for Computational Linguistics (ACL)Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, et al.2019 · 411 citations
  94. MuRIL: Multilingual Representations for Indian LanguagesarXiv:2103.10730Simran Khanuja, Diksha Bansal, Sarvesh Mehtani, et al.2021 · 408 citations
  95. How to Fine-Tune BERT for Text Classification?arXiv:1905.05583Chi Sun, Xipeng Qiu, Yige Xu, et al.2019 · 407 citations
  96. UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingarXiv:2002.12804Hangbo Bao, Li Dong, Furu Wei, et al.2020 · 395 citations
  97. Combating Adversarial Misspellings with Robust Word RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton2019 · 390 citations
  98. Beam Search Strategies for Neural Machine TranslationWorkshop on Neural Machine TranslationMarkus Freitag, Yaser Al-Onaizan2017 · 386 citations
  99. Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, et al.2018 · 377 citations
  100. Massively Multilingual Neural Machine TranslationarXiv:1903.00089Roee Aharoni, Melvin Johnson, Orhan Firat2019 · 372 citations

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