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Who cites Quoc Viet Le

47,619 citations of their works from 30,072 papers of our library (of the 149,439 whose bibliographies we read) · 5,372 with a page here, the most cited first · page 2 of 54 · 101–200 · ← Quoc Viet Le

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  1. Measuring Mathematical Problem Solving With the MATH DatasetarXiv:2103.03874Dan Hendrycks, Collin Burns, Saurav Kadavath, et al.2021 · 2,395 citations
  2. TinyBERT: Distilling BERT for Natural Language UnderstandingFindings of the Association for Computational LinguisticsXiaoqi Jiao, Yichun Yin, Lifeng Shang, et al.2020 · 2,378 citations
  3. Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image CaptioningAnnual Meeting of the Association for Computational Linguistics (ACL)Piyush Sharma, Nan Ding, Sebastian Goodman, et al.2018 · 2,348 citations
  4. Deep Speech 2: End-to-End Speech Recognition in English and MandarinarXiv:1512.02595Dario Amodei, Rishita Anubhai, Eric Battenberg, et al.2015 · 2,341 citations
  5. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  6. A Fast and Accurate Dependency Parser using Neural NetworksDanqi Chen, Christopher Manning2014 · 2,314 citations
  7. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksarXiv:1908.02265Jiasen Lu, Dhruv Batra, Devi Parikh, et al.2019 · 2,302 citations
  8. A Survey on Large Language Model based Autonomous AgentsFrontiers of Computer ScienceLei Wang, Chen Ma, Xueyang Feng, et al.2023 · 2,284 citations
  9. Reflexion: Language Agents with Verbal Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Noah Shinn, Federico Cassano, Edward Berman, et al.2023 · 2,271 citations
  10. Emergent Abilities of Large Language ModelsarXiv:2206.07682Jason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,269 citations
  11. Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
  12. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsarXiv:1905.00537Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,227 citations
  13. BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsarXiv:2301.12597Junnan Li, Dongxu Li, Silvio Savarese, et al.2023 · 2,219 citations
  14. Multimodal Transformer for Unaligned Multimodal Language SequencesAnnual Meeting of the Association for Computational Linguistics (ACL)Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, et al.2019 · 2,193 citations
  15. Stacked Attention Networks for Image Question AnsweringIEEE Computer Society Conference on Computer Vision and Pattern RecognitionZichao Yang, Xiaodong He, Jianfeng Gao, et al.2015 · 2,157 citations
  16. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1arXiv:1602.02830Matthieu Courbariaux, Itay Hubara, Daniel Soudry, et al.2016 · 2,143 citations
  17. DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsarXiv:2402.03300Zhihong Shao, Peiyi Wang, Qihao Zhu, et al.2024 · 2,115 citations
  18. Text Summarization with Pretrained EncodersConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Liu, Mirella Lapata2019 · 2,095 citations
  19. TruthfulQA: Measuring How Models Mimic Human FalsehoodsAnnual Meeting of the Association for Computational Linguistics (ACL)Stephanie Lin, Jacob Hilton, Owain Evans2022 · 2,088 citations
  20. Toolformer: Language Models Can Teach Themselves to Use ToolsConference on Neural Information Processing Systems (NeurIPS)Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.2023 · 2,065 citations
  21. Designing Network Design SpacesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionIlija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, et al.2020 · 2,040 citations
  22. Training Compute-Optimal Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, et al.2022 · 2,032 citations
  23. BLEURT: Learning Robust Metrics for Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Thibault Sellam, Dipanjan Das, Ankur Parikh2020 · 2,032 citations
  24. G-Eval: NLG Evaluation using Gpt-4 with Better Human AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Liu, Dan Iter, Yichong Xu, et al.2023 · 2,000 citations
  25. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed SystemsarXiv:1512.01274Tianqi Chen, Mu Li, Yutian Li, et al.2015 · 2,000 citations
  26. High-Resolution Image Synthesis with Latent Diffusion ModelsarXiv:2112.10752Robin Rombach, Andreas Blattmann, Dominik Lorenz, et al.2021 · 1,996 citations
  27. Making Pre-trained Language Models Better Few-shot LearnersAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Adam Fisch, Danqi Chen2021 · 1,987 citations
  28. Finetuned Language Models Are Zero-Shot LearnersarXiv:2109.01652Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al.2021 · 1,954 citations
  29. Incorporating Copying Mechanism in Sequence-to-Sequence LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jiatao Gu, Zhengdong Lu, Hang Li, et al.2016 · 1,915 citations
  30. AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, et al.2020 · 1,909 citations
  31. BinaryConnect: Training Deep Neural Networks with binary weights during propagationsarXiv:1511.00363Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David2015 · 1,885 citations
  32. Character-Aware Neural Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceYoon Kim, Yacine Jernite, David Sontag, et al.2015 · 1,874 citations
  33. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,871 citations
  34. 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
  35. Personalizing Dialogue Agents: I have a dog, do you have pets too?Annual Meeting of the Association for Computational Linguistics (ACL)Saizheng Zhang, Emily Dinan, Jack Urbanek, et al.2018 · 1,854 citations
  36. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,828 citations
  37. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777Jingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,828 citations
  38. SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused EvaluationInternational Workshop on Semantic Evaluation (SemEval)Daniel Cer, Mona Diab, Eneko Agirre, et al.2017 · 1,828 citations
  39. Layer NormalizationarXiv:1607.06450Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,819 citations
  40. Attention-Based Models for Speech RecognitionarXiv:1506.07503Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.2015 · 1,819 citations
  41. Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language InferenceConference of the European Chapter of the Association for Computational Linguistics (EACL)Timo Schick, Hinrich Schütze2021 · 1,817 citations
  42. A Survey on Hate Speech Detection using Natural Language ProcessingInternational Workshop on Natural Language Processing for Social MediaAnna Schmidt, Michael Wiegand2017 · 1,808 citations
  43. A Structured Self-attentive Sentence EmbeddingarXiv:1703.03130Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, et al.2017 · 1,797 citations
  44. A Neural Conversational ModelarXiv:1506.05869Oriol Vinyals, Quoc Le2015 · 1,791 citations
  45. 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
  46. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
  47. 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
  48. OPT: Open Pre-trained Transformer Language ModelsarXiv:2205.01068Susan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,755 citations
  49. How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Chia-Wei Liu, Ryan Lowe, Iulian Serban, et al.2016 · 1,752 citations
  50. BERTopic: Neural topic modeling with a class-based TF-IDF procedurearXiv:2203.05794Maarten Grootendorst2022 · 1,737 citations
  51. Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Marco Baroni, Georgiana Dinu, Germán Kruszewski2014 · 1,693 citations
  52. Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Gautier Izacard, Edouard Grave2021 · 1,692 citations
  53. Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Duyu Tang, Bing Qin, Ting Liu2015 · 1,686 citations
  54. CommonsenseQA: A Question Answering Challenge Targeting Commonsense KnowledgeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Alon Talmor, Jonathan Herzig, Nicholas Lourie, et al.2019 · 1,676 citations
  55. Qwen Technical ReportarXiv:2309.16609Jinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,669 citations
  56. Retrieval-Augmented Generation for Large Language Models: A SurveyarXiv:2312.10997Yunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,663 citations
  57. MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue ModellingConference on Empirical Methods in Natural Language Processing (EMNLP)Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, et al.2018 · 1,663 citations
  58. A Deep Reinforced Model for Abstractive SummarizationarXiv:1705.04304Romain Paulus, Caiming Xiong, Richard Socher2017 · 1,657 citations
  59. Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionInternational Conference on Machine Learning (ICML)Chao Jia, Yinfei Yang, Ye Xia, et al.2021 · 1,615 citations
  60. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,612 citations
  61. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and ActivationsarXiv:1609.07061Itay Hubara, Matthieu Courbariaux, Daniel Soudry, et al.2016 · 1,610 citations
  62. Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL TaskConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Yu, Rui Zhang, Kai Yang, et al.2018 · 1,602 citations
  63. Deep Speech: Scaling up end-to-end speech recognitionarXiv:1412.5567Awni Hannun, Carl Case, Jared Casper, et al.2014 · 1,600 citations
  64. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,589 citations
  65. REALM: Retrieval-Augmented Language Model Pre-TrainingarXiv:2002.08909Kelvin Guu, Kenton Lee, Zora Tung, et al.2020 · 1,580 citations
  66. Subword Regularization: Improving Neural Network Translation Models with Multiple Subword CandidatesAnnual Meeting of the Association for Computational Linguistics (ACL)Taku Kudo2018 · 1,573 citations
  67. VisualBERT: A Simple and Performant Baseline for Vision and LanguagearXiv:1908.03557Liunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,568 citations
  68. Competition-Level Code Generation with AlphaCodeScienceYujia Li, David Choi, Junyoung Chung, et al.2022 · 1,564 citations
  69. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,556 citations
  70. Unifying Large Language Models and Knowledge Graphs: A RoadmapIEEE Transactions on Knowledge and Data EngineeringShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,551 citations
  71. CLIPScore: A Reference-free Evaluation Metric for Image CaptioningConference on Empirical Methods in Natural Language Processing (EMNLP)Jack Hessel, Ari Holtzman, Maxwell Forbes, et al.2021 · 1,550 citations
  72. Efficient Transformers: A SurveyACM Computing SurveysYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,539 citations
  73. Multi-Task Deep Neural Networks for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaodong Liu, Pengcheng He, Weizhu Chen, et al.2019 · 1,524 citations
  74. BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationarXiv:2201.12086Junnan Li, Dongxu Li, Caiming Xiong, et al.2022 · 1,523 citations
  75. How Can We Know What Language Models Know?Transactions of the Association for Computational Linguistics (TACL)Zhengbao Jiang, Frank F. Xu, Jun Araki, et al.2020 · 1,521 citations
  76. DINOv2: Learning Robust Visual Features without SupervisionarXiv:2304.07193Maxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,513 citations
  77. Deep Reinforcement Learning for Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Will Monroe, Alan Ritter, et al.2016 · 1,502 citations
  78. 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
  79. LAION-5B: An open large-scale dataset for training next generation image-text modelsarXiv:2210.08402Christoph Schuhmann, Romain Beaumont, Richard Vencu, et al.2022 · 1,485 citations
  80. Sigmoid Loss for Language Image Pre-TrainingIEEE/CVF International Conference on Computer Vision (ICCV)Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, et al.2023 · 1,477 citations
  81. Sequence-Level Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yoon Kim, Alexander M. Rush2016 · 1,464 citations
  82. GLM: General Language Model Pretraining with Autoregressive Blank InfillingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,455 citations
  83. From Captions to Visual Concepts and BackIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHao Fang, Saurabh Gupta, Forrest Iandola, et al.2014 · 1,450 citations
  84. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,444 citations
  85. AMC: AutoML for Model Compression and Acceleration on Mobile DevicesLecture notes in computer scienceYihui He; Ji Lin; Zhijian Liu; Hanrui Wang; Li-Jia Li;, Song Han2018 · 1,444 citations
  86. 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
  87. Code Llama: Open Foundation Models for CodearXiv:2308.12950Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.2024 · 1,430 citations
  88. Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197Li Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,422 citations
  89. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsConference on Neural Information Processing Systems (NeurIPS)Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.2020 · 1,421 citations
  90. Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionPeter Anderson, Qi Wu, Damien Teney, et al.2017 · 1,414 citations
  91. Let's Verify Step by SteparXiv:2305.20050Hunter Lightman, Vineet Kosaraju, Yura Burda, et al.2023 · 1,412 citations
  92. FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture SearchIEEE Computer Society Conference on Computer Vision and Pattern RecognitionBichen Wu, Xiaoliang Dai, Peizhao Zhang, et al.2018 · 1,405 citations
  93. Contextual String Embeddings for Sequence LabelingInternational Conference on Computational Linguistics (COLING)Alan Akbik, Duncan Blythe, Roland Vollgraf2018 · 1,400 citations
  94. Generation and Comprehension of Unambiguous Object DescriptionsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunhua Mao, Jonathan Huang, Alexander Toshev, et al.2015 · 1,388 citations
  95. Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsarXiv:1411.2539Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel2014 · 1,371 citations
  96. Sequence Level Training with Recurrent Neural NetworksarXiv:1511.06732Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al.2015 · 1,370 citations
  97. Language Modeling with Gated Convolutional NetworksarXiv:1612.08083Yann N. Dauphin, Angela Fan, Michael Auli, et al.2016 · 1,346 citations
  98. 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
  99. LaMDA: Language Models for Dialog ApplicationsarXiv:2201.08239Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,344 citations
  100. BoolQ: Exploring the Surprising Difficulty of Natural Yes/No QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Christopher Clark, Kenton Lee, Ming-Wei Chang, et al.2019 · 1,330 citations

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