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Who cites Mustafa Suleyman

1,631 citations of their works from 1,631 papers of our library (of the 149,439 whose bibliographies we read) · 321 with a page here, the most cited first · page 1 of 4 · 1–100 · ← Mustafa Suleyman

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  1. TensorFlow: A system for large-scale machine learningarXiv:1605.08695Martin Abadi, Paul Barham, Jianmin Chen, et al.2016 · 12,711 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. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsarXiv:1603.04467Martín Abadi, Ashish Agarwal, Paul Barham, et al.2016 · 9,512 citations
  4. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  5. Think you have Solved Question Answering? Try ARC, the AI2 Reasoning ChallengearXiv:1803.05457Peter Clark, Isaac Cowhey, Oren Etzioni, et al.2018 · 2,394 citations
  6. Bidirectional Attention Flow for Machine ComprehensionarXiv:1611.01603Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al.2016 · 1,988 citations
  7. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777Jingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,828 citations
  8. Layer NormalizationarXiv:1607.06450Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,819 citations
  9. 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
  10. A Deep Reinforced Model for Abstractive SummarizationarXiv:1705.04304Romain Paulus, Caiming Xiong, Richard Socher2017 · 1,657 citations
  11. RACE: Large-scale ReAding Comprehension Dataset From ExaminationsGuokun Lai, Qizhe Xie, Hanxiao Liu, et al.2017 · 1,638 citations
  12. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,612 citations
  13. DINOv2: Learning Robust Visual Features without SupervisionarXiv:2304.07193Maxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,513 citations
  14. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
  15. DailyDialog: A Manually Labelled Multi-turn Dialogue DatasetarXiv:1710.03957Yanran Li, Hui Su, Xiaoyu Shen, et al.2017 · 1,206 citations
  16. Matching Networks for One Shot LearningarXiv:1606.04080Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.2016 · 1,197 citations
  17. MS MARCO: A Human Generated MAchine Reading COmprehension DatasetarXiv:1611.09268Payal Bajaj, Daniel Campos, Nick Craswell, et al.2016 · 1,138 citations
  18. The NarrativeQA Reading Comprehension ChallengeTomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al.2018 · 1,042 citations
  19. Big Bird: Transformers for Longer SequencesConference on Neural Information Processing Systems (NeurIPS)Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 1,023 citations
  20. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language ModelsarXiv:2304.01852 · Meta-Radiology (2023)100,017Yiheng Liu, Tianle Han, Siyuan Ma, et al.2023 · 940 citations
  21. A Survey of Data Augmentation Approaches for NLParXiv:2105.03075Steven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 940 citations
  22. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityarXiv:2302.04023Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 882 citations
  23. BARTScore: Evaluating Generated Text as Text GenerationarXiv:2106.11520Weizhe Yuan, Graham Neubig, Pengfei Liu2021 · 815 citations
  24. Reasoning about Entailment with Neural AttentionarXiv:1509.06664Tim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al.2015 · 802 citations
  25. Ask Me Anything: Dynamic Memory Networks for Natural Language ProcessingarXiv:1506.07285Ankit Kumar, Ozan Irsoy, Peter Ondruska, et al.2015 · 801 citations
  26. The Goldilocks Principle: Reading Children's Books with Explicit Memory RepresentationsarXiv:1511.02301Felix Hill, Antoine Bordes, Sumit Chopra, et al.2015 · 708 citations
  27. Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple SentencesDaniel Khashabi, Snigdha Chaturvedi, Michael Roth, et al.2018 · 677 citations
  28. CoCa: Contrastive Captioners are Image-Text Foundation ModelsarXiv:2205.01917Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 667 citations
  29. Pointing the Unknown WordsAnnual Meeting of the Association for Computational Linguistics (ACL)Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, et al.2016 · 651 citations
  30. A Survey on Automated Fact-CheckingTransactions of the Association for Computational Linguistics (TACL)Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 647 citations
  31. 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
  32. Dynamic Coattention Networks For Question AnsweringarXiv:1611.01604Caiming Xiong, Victor Zhong, Richard Socher2016 · 596 citations
  33. Reducing Transformer Depth on Demand with Structured DropoutarXiv:1909.11556Angela Fan, Edouard Grave, Armand Joulin2019 · 560 citations
  34. Neural Text Summarization: A Critical EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.2019 · 559 citations
  35. SearchQA: A New Q&A Dataset Augmented with Context from a Search EnginearXiv:1704.05179Matthew Dunn, Levent Sagun, Mike Higgins, et al.2017 · 555 citations
  36. Towards AI-Complete Question Answering: A Set of Prerequisite Toy TasksJason Weston, Antoine Bordes, Sumit Chopra, et al.2015 · 555 citations
  37. BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment AnalysisarXiv:1904.02232Hu Xu, Bing Liu, Lei Shu, et al.2019 · 547 citations
  38. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
  39. Cosmos QA: Machine Reading Comprehension with Contextual Commonsense ReasoningLifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.2019 · 544 citations
  40. Machine Comprehension Using Match-LSTM and Answer PointerarXiv:1608.07905Shuohang Wang, Jing Jiang2016 · 541 citations
  41. Crowdsourcing Multiple Choice Science QuestionsWorkshop on Noisy User-generated TextJohannes Welbl, Nelson F. Liu, Matt Gardner2017 · 524 citations
  42. Pay Less Attention with Lightweight and Dynamic ConvolutionsarXiv:1901.10430Felix Wu, Angela Fan, Alexei Baevski, et al.2019 · 437 citations
  43. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsarXiv:2305.08322Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 428 citations
  44. Controllable Abstractive SummarizationWorkshop on Neural Machine Translation and GenerationAngela Fan, David Grangier, Michael Auli2018 · 427 citations

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