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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 16 of 54 · 1501–1600 · ← Quoc Viet Le

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  1. MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Peng Xu, Mostofa Patwary, Mohammad Shoeybi, et al.2020 · 158 citations
  2. Norm-Based Curriculum Learning for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Xuebo Liu, Houtim Lai, Derek F. Wong, et al.2020 · 158 citations
  3. SemEval-2020 Task 4: Commonsense Validation and ExplanationInternational Workshop on Semantic Evaluation (SemEval)Cunxiang Wang, Shuailong Liang, Yili Jin, et al.2020 · 158 citations
  4. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
  5. MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUsarXiv:2402.15627Ziheng Jiang, Haibin Lin, Yinmin Zhong, et al.2024 · 157 citations
  6. Moshi: a speech-text foundation model for real-time dialoguearXiv:2410.00037Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 157 citations
  7. Are aligned neural networks adversarially aligned?Conference on Neural Information Processing Systems (NeurIPS)Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, et al.2023 · 157 citations
  8. Locally Typical SamplingTransactions of the Association for Computational Linguistics (TACL)Clara Meister, Tiago Pimentel, Gian Wiher, et al.2023 · 157 citations
  9. A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.2022 · 157 citations
  10. Leveraging Large Language Models for Multiple Choice Question AnsweringarXiv:2210.12353Joshua Robinson, Christopher Michael Rytting, David Wingate2022 · 157 citations
  11. Reducing Quantity Hallucinations in Abstractive SummarizationFindings of the Association for Computational LinguisticsZheng Zhao, Shay B. Cohen, Bonnie Webber2020 · 157 citations
  12. Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?Conference on Empirical Methods in Natural Language Processing (EMNLP)Ivan Vulić, Goran Glavaš, Roi Reichart, et al.2019 · 157 citations
  13. Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Yilin Yang, Liang Huang, Mingbo Ma2018 · 157 citations
  14. LayerSkip: Enabling Early Exit Inference and Self-Speculative DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, et al.2024 · 156 citations
  15. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 156 citations
  16. REFINER: Reasoning Feedback on Intermediate RepresentationsarXiv:2304.01904Debjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.2023 · 156 citations
  17. Towards a Cleaner Document-Oriented Multilingual Crawled CorpusLanguage Resources and Evaluation Conference (LREC)Julien Abadji, Pedro Ortiz Suarez, Laurent Romary, et al.2022 · 156 citations
  18. Revisiting Character-Based Neural Machine Translation with Capacity and CompressionConference on Empirical Methods in Natural Language Processing (EMNLP)Colin Cherry, George Foster, Ankur Bapna, et al.2018 · 156 citations
  19. Colors in Context: A Pragmatic Neural Model for Grounded Language UnderstandingTransactions of the Association for Computational Linguistics (TACL)Will Monroe, Robert X.D. Hawkins, Noah D. Goodman, et al.2017 · 156 citations
  20. Effective Domain Mixing for Neural Machine TranslationConference on Machine Translation (WMT)Denny Britz, Quoc Le, Reid Pryzant2017 · 156 citations
  21. GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense RetrievalConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kexin Wang, Nandan Thakur, Nils Reimers, et al.2022 · 155 citations
  22. ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningarXiv:2212.07919Olga Golovneva, Moya Chen, Spencer Poff, et al.2022 · 155 citations
  23. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildarXiv:2503.18892Weihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 154 citations
  24. ART: Automatic multi-step reasoning and tool-use for large language modelsarXiv:2303.09014Bhargavi Paranjape, Scott Lundberg, Sameer Singh, et al.2023 · 154 citations
  25. Can GPT-3 Perform Statutory Reasoning?arXiv:2302.06100Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme2023 · 154 citations
  26. Ask Me Anything: A simple strategy for prompting language modelsarXiv:2210.02441Simran Arora, Avanika Narayan, Mayee F. Chen, et al.2022 · 154 citations
  27. Multiple Instance Learning Networks for Fine-Grained Sentiment AnalysisTransactions of the Association for Computational Linguistics (TACL)Stefanos Angelidis, Mirella Lapata2018 · 154 citations
  28. Context Gates for Neural Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Zhaopeng Tu, Yang Liu, Zhengdong Lu, et al.2017 · 154 citations
  29. LLM-based NLG Evaluation: Current Status and ChallengesComputational LinguisticsMingqi Gao, Xinyu Hu, Xunjian Yin, et al.2025 · 153 citations
  30. The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Junyi Li, Jie Chen, Ruiyang Ren, et al.2024 · 153 citations
  31. Label Words are Anchors: An Information Flow Perspective for Understanding In-Context LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Lean Wang, Lei Li, Damai Dai, et al.2023 · 153 citations
  32. Large Language Models as Commonsense Knowledge for Large-Scale Task PlanningConference on Neural Information Processing Systems (NeurIPS)Zirui Zhao, Wee Sun Lee, David Hsu2023 · 153 citations
  33. Multilingual Autoregressive Entity LinkingTransactions of the Association for Computational Linguistics (TACL)Nicola De Cao, Ledell Wu, Kashyap Popat, et al.2022 · 153 citations
  34. Memory-Efficient Pipeline-Parallel DNN TrainingInternational Conference on Machine Learning (ICML)Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, et al.2020 · 153 citations
  35. Cross-Lingual BERT Transformation for Zero-Shot Dependency ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxuan Wang, Wanxiang Che, Jiang Guo, et al.2019 · 153 citations
  36. LibriTTS: A Corpus Derived from LibriSpeech for Text-to-SpeecharXiv:1904.02882Heiga Zen, Viet Dang, Rob Clark, et al.2019 · 153 citations
  37. Seq2seq Dependency ParsingInternational Conference on Computational Linguistics (COLING)Zuchao Li, Jiaxun Cai, Shexia He, et al.2018 · 153 citations
  38. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Shenzhi Wang, Le Yu, Chang Gao, et al.2025 · 152 citations
  39. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 152 citations
  40. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesConference on Neural Information Processing Systems (NeurIPS)Junho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 152 citations
  41. Generative Verifiers: Reward Modeling as Next-Token PredictionarXiv:2408.15240Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 152 citations
  42. Simple and Effective Masked Diffusion Language ModelsConference on Neural Information Processing Systems (NeurIPS)Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al.2024 · 152 citations
  43. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsarXiv:2303.16854Xingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 152 citations
  44. FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGNInternational Conference on Spoken Language Translation (IWSLT)Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.2023 · 152 citations
  45. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationarXiv:2305.15852Niels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 152 citations
  46. V*: Guided Visual Search as a Core Mechanism in Multimodal LLMsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionPenghao Wu, Saining Xie2023 · 152 citations
  47. ProsocialDialog: A Prosocial Backbone for Conversational AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.2022 · 152 citations
  48. Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer LearningFindings of the Association for Computational LinguisticsZhaojiang Lin, Andrea Madotto, Pascale Fung2020 · 152 citations
  49. Neuro-Symbolic Program SynthesisarXiv:1611.01855Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, et al.2016 · 152 citations
  50. HyperTree Proof Search for Neural Theorem ProvingConference on Neural Information Processing Systems (NeurIPS)Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril, et al.2022 · 151 citations
  51. Investigating Pretrained Language Models for Graph-to-Text GenerationWorkshop on Natural Language Processing for Conversational AILeonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.2021 · 151 citations
  52. Unsolved Problems in ML SafetyarXiv:2109.13916Dan Hendrycks, Nicholas Carlini, John Schulman, et al.2021 · 151 citations
  53. Generation-Augmented Retrieval for Open-domain Question AnsweringarXiv:2009.08553Yuning Mao, Pengcheng He, Xiaodong Liu, et al.2020 · 151 citations
  54. Regularization techniques for fine-tuning in neural machine translationConference on Empirical Methods in Natural Language Processing (EMNLP)Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, et al.2017 · 151 citations
  55. CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Kechi Zhang, Jia Li, Ge Li, et al.2024 · 150 citations
  56. Searching for Best Practices in Retrieval-Augmented GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaohua Wang, Zhenghua Wang, Xuan Gao, et al.2024 · 150 citations
  57. M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, et al.2023 · 150 citations
  58. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningarXiv:2312.01552Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.2023 · 150 citations
  59. A Review on Language Models as Knowledge BasesarXiv:2204.06031Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, et al.2022 · 150 citations
  60. Pre-Training BERT on Arabic Tweets: Practical ConsiderationsarXiv:2102.10684Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al.2021 · 150 citations
  61. Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos2019 · 150 citations
  62. Identifying Causal Relations Using Parallel Wikipedia ArticlesAnnual Meeting of the Association for Computational Linguistics (ACL)Christopher Hidey, Kathy McKeown2016 · 150 citations
  63. Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.2024 · 149 citations
  64. Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, et al.2024 · 149 citations
  65. MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse LanguagesTransactions of the Association for Computational Linguistics (TACL)Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al.2023 · 149 citations
  66. RA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 149 citations
  67. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language ModelsarXiv:2307.10635Xiaoxuan Wang, Ziniu Hu, Pan Lu, et al.2023 · 149 citations
  68. Self-Evaluation Guided Beam Search for ReasoningConference on Neural Information Processing Systems (NeurIPS)Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 149 citations
  69. TALM: Tool Augmented Language ModelsarXiv:2205.12255Aaron Parisi, Yao Zhao, Noah Fiedel2022 · 149 citations
  70. How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation PairsConference of the European Chapter of the Association for Computational Linguistics (EACL)Rico Sennrich2017 · 149 citations
  71. Justice or Prejudice? Quantifying Biases in LLM-as-a-JudgearXiv:2410.02736Jiayi Ye, Yanbo Wang, Yue Huang, et al.2024 · 148 citations
  72. Language Model Behavior: A Comprehensive SurveyComputational LinguisticsTyler A. Chang, Benjamin K. Bergen2024 · 148 citations
  73. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingarXiv:2406.08464Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 148 citations
  74. Context-faithful Prompting for Large Language ModelsFindings of the Association for Computational LinguisticsWenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.2023 · 148 citations
  75. Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvaturearXiv:2310.05130Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 148 citations
  76. Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and EvaluationFindings of the Association for Computational LinguisticsMarius Mosbach, Tiago Pimentel, Shauli Ravfogel, et al.2023 · 148 citations
  77. Instruction Induction: From Few Examples to Natural Language Task DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Or Honovich, Uri Shaham, Samuel R. Bowman, et al.2022 · 148 citations
  78. Understanding Dataset Design Choices for Multi-hop ReasoningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jifan Chen, Greg Durrett2019 · 148 citations
  79. Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Fahim Dalvi, Nadir Durrani, Hassan Sajjad, et al.2018 · 148 citations
  80. HyperLex: A Large-Scale Evaluation of Graded Lexical EntailmentComputational LinguisticsIvan Vulić, Daniela Gerz, Douwe Kiela, et al.2017 · 148 citations
  81. Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and StringsAnnual Meeting of the Association for Computational Linguistics (ACL)Ondřej Dušek, Filip Jurčíček2016 · 148 citations
  82. Beyond Human Data: Scaling Self-Training for Problem-Solving with Language ModelsarXiv:2312.06585Avi Singh, John D. Co-Reyes, Rishabh Agarwal, et al.2023 · 147 citations
  83. GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionConference on Neural Information Processing Systems (NeurIPS)Rui Yang, Lin Song, Yanwei Li, et al.2023 · 147 citations
  84. Text Embeddings Reveal (Almost) As Much As TextConference on Empirical Methods in Natural Language Processing (EMNLP)John Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.2023 · 147 citations
  85. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Shibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 147 citations
  86. Is GPT-3 a Good Data Annotator?arXiv:2212.10450Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 147 citations
  87. UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question AnsweringFindings of the Association for Computational LinguisticsBarlas Oguz, Xilun Chen, Vladimir Karpukhin, et al.2022 · 147 citations
  88. SyntaxGym: An Online Platform for Targeted Evaluation of Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jon Gauthier, Jennifer Hu, Ethan Wilcox, et al.2020 · 147 citations
  89. Recurrent Highway NetworksarXiv:1607.03474Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutnik, et al.2016 · 147 citations
  90. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingarXiv:2501.04519Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
  91. GPT-4V(ision) is a Generalist Web Agent, if GroundedarXiv:2401.01614Boyuan Zheng, Boyu Gou, Jihyung Kil, et al.2024 · 146 citations
  92. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingFindings of the Association for Computational LinguisticsHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 146 citations
  93. Fact-Checking Complex Claims with Program-Guided ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.2023 · 146 citations
  94. PMC-LLaMA: Towards Building Open-source Language Models for MedicinearXiv:2304.14454Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.2023 · 146 citations
  95. SCOTT: Self-Consistent Chain-of-Thought DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Peifeng Wang, Zhengyang Wang, Zheng Li, et al.2023 · 146 citations
  96. Quality-Aware Decoding for Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Patrick Fernandes, António Farinhas, Ricardo Rei, et al.2022 · 146 citations
  97. A Neural Knowledge Language ModelarXiv:1608.00318Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, et al.2016 · 146 citations
  98. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
  99. Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
  100. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesarXiv:2310.17631Lianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 145 citations

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