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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 6 of 54 · 501–600 · ← Quoc Viet Le

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  1. MLS: A Large-Scale Multilingual Dataset for Speech ResearchInterspeechVineel Pratap, Qiantong Xu, Anuroop Sriram, et al.2020 · 523 citations
  2. To Tune or Not to Tune? Adapting Pretrained Representations to Diverse TasksWorkshop on Representation Learning for NLPMatthew E. Peters, Sebastian Ruder, Noah A. Smith2019 · 522 citations
  3. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 520 citations
  4. OpenAssistant Conversations — Democratizing Large Language Model AlignmentarXiv:2304.07327Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, et al.2023 · 518 citations
  5. How Does NLP Benefit Legal System: A Summary of Legal Artificial IntelligenceAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxi Zhong, Chaojun Xiao, Cunchao Tu, et al.2020 · 518 citations
  6. Deep Learning Scaling is Predictable, EmpiricallyarXiv:1712.00409Joel Hestness, Sharan Narang, Newsha Ardalani, et al.2017 · 518 citations
  7. Baichuan 2: Open Large-scale Language ModelsarXiv:2309.10305Aiyuan Yang, Bin Xiao, Bingning Wang, et al.2023 · 517 citations
  8. DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)John Giorgi, Osvald Nitski, Bo Wang, et al.2021 · 516 citations
  9. Recursive Neural Conditional Random Fields for Aspect-based Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP)Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, et al.2016 · 516 citations
  10. TabFact: A Large-scale Dataset for Table-based Fact VerificationarXiv:1909.02164Wenhu Chen, Hongmin Wang, Jianshu Chen, et al.2019 · 515 citations
  11. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingarXiv:2308.14508Yushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 514 citations
  12. Towards Expert-Level Medical Question Answering with Large Language ModelsarXiv:2305.09617Karan Singhal, Tao Tu, Juraj Gottweis, et al.2023 · 513 citations
  13. FinQA: A Dataset of Numerical Reasoning over Financial DataConference on Empirical Methods in Natural Language Processing (EMNLP)Zhiyu Chen, Wenhu Chen, Charese Smiley, et al.2021 · 513 citations
  14. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  15. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
  16. Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisFindings of the Association for Computational LinguisticsWenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.2024 · 506 citations
  17. Sentiment Analysis in the Era of Large Language Models: A Reality CheckFindings of the Association for Computational LinguisticsWenxuan Zhang, Yue Deng, Bing Liu, et al.2023 · 506 citations
  18. FLAT: Chinese NER Using Flat-Lattice TransformerAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaonan Li, Hang Yan, Xipeng Qiu, et al.2020 · 505 citations
  19. Does String-Based Neural MT Learn Source Syntax?Conference on Empirical Methods in Natural Language Processing (EMNLP)Xing Shi, Inkit Padhi, Kevin Knight2016 · 504 citations
  20. Two/Too Simple Adaptations of Word2Vec for Syntax ProblemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wang Ling, Chris Dyer, Alan W. Black, et al.2015 · 504 citations
  21. Sparse, Dense, and Attentional Representations for Text RetrievalTransactions of the Association for Computational Linguistics (TACL)Yi Luan, Jacob Eisenstein, Kristina Toutanova, et al.2021 · 503 citations
  22. Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space ModelarXiv:2401.09417Lianghui Zhu, Bencheng Liao, Qian Zhang, et al.2024 · 500 citations
  23. Few-shot Learning with Multilingual Language ModelsarXiv:2112.10668Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 500 citations
  24. Towards an Automatic Turing Test: Learning to Evaluate Dialogue ResponsesAnnual Meeting of the Association for Computational Linguistics (ACL)Ryan Lowe, Michael Noseworthy, Iulian V. Serban, et al.2017 · 499 citations
  25. Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsAnnual Meeting of the Association for Computational Linguistics (ACL)Peiyi Wang, Lei Li, Zhihong Shao, et al.2024 · 497 citations
  26. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.2023 · 496 citations
  27. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
  28. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
  29. Language Models are Multilingual Chain-of-Thought ReasonersarXiv:2210.03057Freda Shi, Mirac Suzgun, Markus Freitag, et al.2022 · 494 citations
  30. Semi-Supervised Sequence Modeling with Cross-View TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.2018 · 494 citations
  31. Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelConference on Neural Information Processing Systems (NeurIPS)Kenneth Li, Oam Patel, Fernanda Viegas, et al.2023 · 492 citations
  32. REPLUG: Retrieval-Augmented Black-Box Language ModelsarXiv:2301.12652Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 492 citations
  33. 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
  34. Rethinking Attention with PerformersarXiv:2009.14794Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, et al.2020 · 491 citations
  35. DyNet: The Dynamic Neural Network ToolkitarXiv:1701.03980Graham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 489 citations
  36. DeeBERT: Dynamic Early Exiting for Accelerating BERT InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Ji Xin, Raphael Tang, Jaejun Lee, et al.2020 · 487 citations
  37. EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Muhammad Abdul-Mageed, Lyle Ungar2017 · 487 citations
  38. 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
  39. ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.2022 · 485 citations
  40. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedarXiv:2209.07858Deep Ganguli, Liane Lovitt, Jackson Kernion, et al.2022 · 485 citations
  41. ToTTo: A Controlled Table-To-Text Generation DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, et al.2020 · 482 citations
  42. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 481 citations
  43. 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
  44. Legal Judgment Prediction via Topological LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Haoxi Zhong, Zhipeng Guo, Cunchao Tu, et al.2018 · 480 citations
  45. Loss in Translation: Learning Bilingual Word Mapping with a Retrieval CriterionConference on Empirical Methods in Natural Language Processing (EMNLP)Armand Joulin, Piotr Bojanowski, Tomas Mikolov, et al.2018 · 479 citations
  46. ProxylessNAS: Direct Neural Architecture Search on Target Task and HardwarearXiv:1812.00332Han Cai, Ligeng Zhu, Song Han2018 · 479 citations
  47. Orca: A Distributed Serving System for Transformer-Based Generative ModelsOSDI 2022Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, et al.2022 · 478 citations
  48. ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicarXiv:2101.01785 · ACL-2021 camera ready versionMuhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi2021 · 478 citations
  49. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
  50. An Unsupervised Neural Attention Model for Aspect ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Ruidan He, Wee Sun Lee, Hwee Tou Ng, et al.2017 · 477 citations
  51. In-context Learning and Induction HeadsarXiv:2209.11895Catherine Olsson, Nelson Elhage, Neel Nanda, et al.2022 · 475 citations
  52. Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Minh-Thang Luong, Christopher D. Manning2016 · 475 citations
  53. Data Augmentation using Pre-trained Transformer ModelsarXiv:2003.02245Varun Kumar, Ashutosh Choudhary, Eunah Cho2020 · 474 citations
  54. 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
  55. Learning to Generate Reviews and Discovering SentimentarXiv:1704.01444Alec Radford, Rafal Jozefowicz, Ilya Sutskever2017 · 474 citations
  56. Show your work: Scratchpads for intermediate computation with language models2021 · 473 citations
  57. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object DetectionarXiv:2303.05499Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al.2023 · 472 citations
  58. Large Language Models: A SurveyarXiv:2402.06196Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.2024 · 471 citations
  59. PPT: Pre-trained Prompt Tuning for Few-shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 471 citations
  60. Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTarXiv:1904.09077Shijie Wu, Mark Dredze2019 · 471 citations
  61. Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information RetrievalConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.2015 · 471 citations
  62. P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and TasksarXiv:2110.07602Xiao Liu, Kaixuan Ji, Yicheng Fu, et al.2021 · 469 citations
  63. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsarXiv:2310.02255Pan Lu, Hritik Bansal, Tony Xia, et al.2023 · 468 citations
  64. Hierarchical Transformers for Multi-Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Mirella Lapata2019 · 468 citations
  65. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkarXiv:2202.03052Peng Wang, An Yang, Rui Men, et al.2022 · 467 citations
  66. Action-Conditional Video Prediction using Deep Networks in Atari GamesarXiv:1507.08750Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, et al.2015 · 467 citations
  67. End-to-end learning of semantic role labeling using recurrent neural networksAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Zhou, Wei Xu2015 · 466 citations
  68. CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-XACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Qinkai Zheng, Xiao Xia, Xu Zou, et al.2023 · 465 citations
  69. Joint Embedding of Words and Labels for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Guoyin Wang, Chunyuan Li, Wenlin Wang, et al.2018 · 465 citations
  70. MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKunchang Li, Yali Wang, Yinan He, et al.2023 · 463 citations
  71. Text-to-SQL Empowered by Large Language Models: A Benchmark EvaluationProceedings of the VLDB EndowmentDawei Gao, Haibin Wang, Yaliang Li, et al.2023 · 463 citations
  72. 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
  73. A Persona-Based Neural Conversation ModelarXiv:1603.06155Jiwei Li, Michel Galley, Chris Brockett, et al.2016 · 462 citations
  74. Are All Languages Created Equal in Multilingual BERT?Workshop on Representation Learning for NLPShijie Wu, Mark Dredze2020 · 460 citations
  75. LinkBERT: Pretraining Language Models with Document LinksAnnual Meeting of the Association for Computational Linguistics (ACL)Michihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 458 citations
  76. OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific ProblemsAnnual Meeting of the Association for Computational Linguistics (ACL)Chaoqun He, Renjie Luo, Yuzhuo Bai, et al.2024 · 456 citations
  77. 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
  78. Ethical and social risks of harm from Language ModelsarXiv:2112.04359Laura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 456 citations
  79. Meta-Learning for Low-Resource Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiatao Gu, Yong Wang, Yun Chen, et al.2018 · 456 citations
  80. Bilingual Word Representations with Monolingual Quality in MindWorkshop on Vector Space Modeling for Natural Language ProcessingThang Luong, Hieu Pham, Christopher D. Manning2015 · 456 citations
  81. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLecture notes in computer scienceLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 454 citations
  82. Large language models are few-shot clinical information extractorsConference on Empirical Methods in Natural Language Processing (EMNLP)Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.2022 · 454 citations
  83. 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
  84. Deep Keyphrase GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Meng, Sanqiang Zhao, Shuguang Han, et al.2017 · 454 citations
  85. Multi-Perspective Sentence Similarity Modeling with Convolutional Neural NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Hua He, Kevin Gimpel, Jimmy Lin2015 · 454 citations
  86. ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingFindings of the Association for Computational LinguisticsWeizhen Qi, Yu Yan, Yeyun Gong, et al.2020 · 453 citations
  87. LLM-Pruner: On the Structural Pruning of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Xinyin Ma, Gongfan Fang, Xinchao Wang2023 · 452 citations
  88. Pretrained Transformers Improve Out-of-Distribution RobustnessAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al.2020 · 452 citations
  89. FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingarXiv:1909.11764Chen Zhu, Yu Cheng, Zhe Gan, et al.2019 · 452 citations
  90. HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Xingxing Zhang, Furu Wei, Ming Zhou2019 · 451 citations
  91. Mathematical Capabilities of ChatGPTConference on Neural Information Processing Systems (NeurIPS)Simon Frieder, Luca Pinchetti, Alexis Chevalier, et al.2023 · 449 citations
  92. 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
  93. OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge GraphsAnnual Meeting of the Association for Computational Linguistics (ACL)Seungwhan Moon, Pararth Shah, Anuj Kumar, et al.2019 · 449 citations
  94. 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
  95. Masked Language Model ScoringAnnual Meeting of the Association for Computational Linguistics (ACL)Julian Salazar, Davis Liang, Toan Q. Nguyen, et al.2020 · 447 citations
  96. FinGPT: Open-Source Financial Large Language ModelsarXiv:2306.06031Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang2023 · 445 citations
  97. 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
  98. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
  99. oLMpics — On what Language Model Pre-training CapturesTransactions of the Association for Computational Linguistics (TACL)Alon Talmor, Yanai Elazar, Yoav Goldberg, et al.2019 · 440 citations
  100. 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

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