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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 18 of 54 · 1701–1800 · ← Quoc Viet Le

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  1. Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine TranslationarXiv:2006.10369Jungo Kasai, Nikolaos Pappas, Hao Peng, et al.2020 · 134 citations
  2. Next Sentence Prediction helps Implicit Discourse Relation Classification within and across DomainsConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Shi, Vera Demberg2019 · 134 citations
  3. Findings of the WMT 2018 Shared Task on Quality EstimationConference on Machine Translation: Shared Task PapersLucia Specia, Frédéric Blain, Varvara Logacheva, et al.2018 · 134 citations
  4. Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural NetworkInternational Conference on Computational Linguistics (COLING)Hamed Khanpour, Nishitha Guntakandla, Rodney Nielsen2016 · 134 citations
  5. EAGLE-2: Faster Inference of Language Models with Dynamic Draft TreesConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 133 citations
  6. Humans or LLMs as the Judge? A Study on Judgement BiasConference on Empirical Methods in Natural Language Processing (EMNLP)Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 133 citations
  7. The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Hannah Rose Kirk, Alexander Whitefield, Paul Rottger, et al.2024 · 133 citations
  8. Prompting is not a substitute for probability measurements in large language modelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jennifer Hu, Roger Levy2023 · 133 citations
  9. FLUTE: Figurative Language Understanding through Textual ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP)Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 133 citations
  10. Formal Mathematics Statement Curriculum LearningarXiv:2202.01344Stanislas Polu, Jesse Michael Han, Kunhao Zheng, et al.2022 · 133 citations
  11. Does Gender Matter? Towards Fairness in Dialogue SystemsInternational Conference on Computational Linguistics (COLING)Haochen Liu, Jamell Dacon, Wenqi Fan, et al.2020 · 133 citations
  12. Seq2Edits: Sequence Transduction Using Span-level Edit OperationsConference on Empirical Methods in Natural Language Processing (EMNLP)Felix Stahlberg, Shankar Kumar2020 · 133 citations
  13. Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented DialogueAnnual Meeting of the Association for Computational Linguistics (ACL)Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, et al.2019 · 133 citations
  14. Knowledge Guided Text Retrieval and Reading for Open Domain Question AnsweringarXiv:1911.03868Sewon Min, Danqi Chen, Luke Zettlemoyer, et al.2019 · 133 citations
  15. Stance Detection with Hierarchical Attention NetworkInternational Conference on Computational Linguistics (COLING)Qingying Sun, Zhongqing Wang, Qiaoming Zhu, et al.2018 · 133 citations
  16. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackarXiv:2305.10142Yao Fu, Hao Peng, Tushar Khot, et al.2023 · 132 citations
  17. Task-aware Retrieval with InstructionsFindings of the Association for Computational LinguisticsAkari Asai, Timo Schick, Patrick Lewis, et al.2023 · 132 citations
  18. ZeroSCROLLS: A Zero-Shot Benchmark for Long Text UnderstandingFindings of the Association for Computational LinguisticsUri Shaham, Maor Ivgi, Avia Efrat, et al.2023 · 132 citations
  19. Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt CompletionFindings of the Association for Computational LinguisticsKurt Shuster, Mojtaba Komeili, Leonard Adolphs, et al.2022 · 132 citations
  20. Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge EnhancementConference on Empirical Methods in Natural Language Processing (EMNLP)Hui Liu, Wenya Wang, Haoliang Li2022 · 132 citations
  21. MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsFindings of the Association for Computational LinguisticsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 131 citations
  22. Progressive-Hint Prompting Improves Reasoning in Large Language ModelsarXiv:2304.09797Chuanyang Zheng, Zhengying Liu, Enze Xie, et al.2023 · 131 citations
  23. Scaling Deep Contrastive Learning Batch Size under Memory Limited SetupWorkshop on Representation Learning for NLPLuyu Gao, Yunyi Zhang, Jiawei Han, et al.2021 · 131 citations
  24. Syntax-Guided Controlled Generation of ParaphrasesTransactions of the Association for Computational Linguistics (TACL)Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, et al.2020 · 131 citations
  25. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
  26. A Survey on Recent Advances in LLM-Based Multi-turn Dialogue SystemsACM Computing SurveysZihao Yi, Jiarui Ouyang, Zhe Xu, et al.2024 · 130 citations
  27. Deductive Verification of Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Zhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 130 citations
  28. Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM AgentsarXiv:2306.03314Yashar Talebirad, Amirhossein Nadiri2023 · 130 citations
  29. Natural Language Reasoning, A SurveyACM Computing SurveysFei Yu, Hongbo Zhang, Prayag Tiwari, et al.2023 · 130 citations
  30. Retrieval meets Long Context Large Language ModelsarXiv:2310.03025Peng Xu, Wei Ping, Xianchao Wu, et al.2023 · 130 citations
  31. Scaling Up Models and Data with t5x and seqioarXiv:2203.17189Adam Roberts, Hyung Won Chung, Anselm Levskaya, et al.2022 · 130 citations
  32. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual SettingsBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsZeerak Talat, Aurélie Névéol, Stella Biderman, et al.2022 · 130 citations
  33. Learning Compact Metrics for MTConference on Empirical Methods in Natural Language Processing (EMNLP)Amy Pu, Hyung Won Chung, Ankur Parikh, et al.2021 · 130 citations
  34. MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual TransferFindings of the Association for Computational LinguisticsAlan Ansell, Edoardo Maria Ponti, Jonas Pfeiffer, et al.2021 · 130 citations
  35. An Analysis of Natural Language Inference Benchmarks through the Lens of NegationMd Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, et al.2020 · 130 citations
  36. Improved Natural Language Generation via Loss TruncationAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Kang, Tatsunori B. Hashimoto2020 · 130 citations
  37. Keep CALM and Explore: Language Models for Action Generation in Text-based GamesConference on Empirical Methods in Natural Language Processing (EMNLP)Shunyu Yao, Rohan Rao, Matthew Hausknecht, et al.2020 · 130 citations
  38. Scheduled Multi-Task Learning: From Syntax to TranslationTransactions of the Association for Computational Linguistics (TACL)Eliyahu Kiperwasser, Miguel Ballesteros2018 · 130 citations
  39. Faithful Logical Reasoning via Symbolic Chain-of-ThoughtAnnual Meeting of the Association for Computational Linguistics (ACL)Jundong Xu, Hao Fei, Liangming Pan, et al.2024 · 129 citations
  40. MAGE: Machine-generated Text Detection in the WildAnnual Meeting of the Association for Computational Linguistics (ACL)Yafu Li, Qintong Li, Leyang Cui, et al.2024 · 129 citations
  41. Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Li, Yuqi Wang, Runxin Xu, et al.2024 · 129 citations
  42. OpenCodeInterpreter: Integrating Code Generation with Execution and RefinementFindings of the Association for Computational LinguisticsTianyu Zheng, Ge Zhang, Tianhao Shen, et al.2024 · 129 citations
  43. Evaluating the Moral Beliefs Encoded in LLMsConference on Neural Information Processing Systems (NeurIPS)Nino Scherrer, Claudia Shi, Amir Feder, et al.2023 · 129 citations
  44. Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaborationFindings of the Association for Computational LinguisticsYang Deng, Lizi Liao, Liang Chen, et al.2023 · 129 citations
  45. Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-TuningarXiv:2303.15647Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao, et al.2023 · 129 citations
  46. Sequence Parallelism: Long Sequence Training from System PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Shenggui Li, Fuzhao Xue, Chaitanya Baranwal, et al.2023 · 129 citations
  47. Mr. TyDi: A Multi-lingual Benchmark for Dense RetrievalWorkshop on Multilingual Representation LearningXinyu Zhang, Xueguang Ma, Peng Shi, et al.2021 · 129 citations
  48. Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction BenchmarkNatural Legal Language Processing WorkshopJoel Niklaus, Ilias Chalkidis, Matthias Stürmer2021 · 129 citations
  49. Open-Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Danqi Chen, Wen-tau Yih2020 · 129 citations
  50. Understanding the planning of LLM agents: A surveyarXiv:2402.02716Xu Huang, Weiwen Liu, Xiaolong Chen, et al.2024 · 128 citations
  51. Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled DataFindings of the Association for Computational LinguisticsKashun Shum, Shizhe Diao, Tong Zhang2023 · 128 citations
  52. Emergent autonomous scientific research capabilities of large language modelsarXiv:2304.05332 · published as "Autonomous chemical research with large language models", Nature (2023), doi:10.1038/s41586-023-06792-0Daniil A. Boiko, Robert MacKnight, Gabe Gomes2023 · 128 citations
  53. Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsarXiv:2308.08493Shahriar Golchin, Mihai Surdeanu2023 · 128 citations
  54. A Comprehensive Assessment of Dialog Evaluation MetricsThe First Workshop on Evaluations and Assessments of Neural Conversation SystemsYi-Ting Yeh, Maxine Eskenazi, Shikib Mehri2021 · 128 citations
  55. Scaling Vision with Sparse Mixture of ExpertsarXiv:2106.05974Carlos Riquelme, Joan Puigcerver, Basil Mustafa, et al.2021 · 128 citations
  56. LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal ModelsarXiv:2407.07895Feng Li, Renrui Zhang, Hao Zhang, et al.2024 · 127 citations
  57. SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 127 citations
  58. Fine-tuning Language Models for FactualityarXiv:2311.08401Katherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 127 citations
  59. XLM-E: Cross-lingual Language Model Pre-training via ELECTRAAnnual Meeting of the Association for Computational Linguistics (ACL)Zewen Chi, Shaohan Huang, Li Dong, et al.2022 · 127 citations
  60. A Recipe For Arbitrary Text Style Transfer with Large Language ModelsarXiv:2109.03910Emily Reif, Daphne Ippolito, Ann Yuan, et al.2021 · 127 citations
  61. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryConference on Neural Information Processing Systems (NeurIPS)Chaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 126 citations
  62. Chain of Hindsight Aligns Language Models with FeedbackarXiv:2302.02676Hao Liu, Carmelo Sferrazza, Pieter Abbeel2023 · 126 citations
  63. LEVER: Learning to Verify Language-to-Code Generation with ExecutionarXiv:2302.08468Ansong Ni, Srini Iyer, Dragomir Radev, et al.2023 · 126 citations
  64. LM vs LM: Detecting Factual Errors via Cross ExaminationConference on Empirical Methods in Natural Language Processing (EMNLP)Roi Cohen, May Hamri, Mor Geva, et al.2023 · 126 citations
  65. Take a Step Back: Evoking Reasoning via Abstraction in Large Language ModelsarXiv:2310.06117Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, et al.2023 · 126 citations
  66. PEER: A Collaborative Language ModelarXiv:2208.11663Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, et al.2022 · 126 citations
  67. Learning Dense Representations of Phrases at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, et al.2021 · 126 citations
  68. Giving BERT a Calculator: Finding Operations and Arguments with Reading ComprehensionConference on Empirical Methods in Natural Language Processing (EMNLP)Daniel Andor, Luheng He, Kenton Lee, et al.2019 · 126 citations
  69. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningarXiv:2503.04697Pranjal Aggarwal, Sean Welleck2025 · 125 citations
  70. Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryarXiv:2504.19413Prateek Chhikara, Dev Khant, Saket Aryan, et al.2025 · 125 citations
  71. TravelPlanner: A Benchmark for Real-World Planning with Language AgentsarXiv:2402.01622Jian Xie, Kai Zhang, Jiangjie Chen, et al.2024 · 125 citations
  72. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
  73. A Systematic Evaluation of Large Language Models of CodearXiv:2202.13169Frank F. Xu, Uri Alon, Graham Neubig, et al.2022 · 125 citations
  74. Insertion-based Decoding with Automatically Inferred Generation OrderTransactions of the Association for Computational Linguistics (TACL)Jiatao Gu, Qi Liu, Kyunghyun Cho2019 · 125 citations
  75. Learning Distributed Representations of Texts and Entities from Knowledge BaseTransactions of the Association for Computational Linguistics (TACL)Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.2017 · 125 citations
  76. Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-steparXiv:2402.16906Li Zhong, Zilong Wang, Jingbo Shang2024 · 124 citations
  77. Can Language Models Solve Graph Problems in Natural Language?Conference on Neural Information Processing Systems (NeurIPS)Heng Wang, Shangbin Feng, Tianxing He, et al.2023 · 124 citations
  78. Generative Spoken Dialogue Language ModelingTransactions of the Association for Computational Linguistics (TACL)Tu Anh Nguyen, Eugene Kharitonov, Jade Copet, et al.2023 · 124 citations
  79. H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language ModelsarXiv:2306.14048Zhenyu Zhang, Ying Sheng, Tianyi Zhou, et al.2023 · 124 citations
  80. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
  81. Unlearn What You Want to Forget: Efficient Unlearning for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaao Chen, Diyi Yang2023 · 124 citations
  82. Pre-Trained Language Models for Interactive Decision-MakingarXiv:2202.01771Shuang Li, Xavier Puig, Chris Paxton, et al.2022 · 124 citations
  83. Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?Annual Meeting of the Association for Computational Linguistics (ACL)Luisa Bentivogli, Mauro Cettolo, Marco Gaido, et al.2021 · 124 citations
  84. Revisiting the Uniform Information Density HypothesisConference on Empirical Methods in Natural Language Processing (EMNLP)Clara Meister, Tiago Pimentel, Patrick Haller, et al.2021 · 124 citations
  85. Stance Detection Benchmark: How Robust Is Your Stance Detection?arXiv:2001.01565Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych2020 · 124 citations
  86. SECTOR: A Neural Model for Coherent Topic Segmentation and ClassificationTransactions of the Association for Computational Linguistics (TACL)Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux, et al.2019 · 124 citations
  87. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsarXiv:2503.01307Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 123 citations
  88. Mini-Gemini: Mining the Potential of Multi-modality Vision Language ModelsIEEE Transactions on Pattern Analysis and Machine IntelligenceYanwei Li, Yuechen Zhang, Chengyao Wang, et al.2024 · 123 citations
  89. MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding BenchmarkarXiv:2409.02813Xiang Yue, Tianyu Zheng, Yuansheng Ni, et al.2024 · 123 citations
  90. Sleeper Agents: Training Deceptive LLMs that Persist Through Safety TrainingarXiv:2401.05566Evan Hubinger, Carson Denison, Jesse Mu, et al.2024 · 123 citations
  91. Sycophancy in Large Language Models: Causes and MitigationsLecture notes in networks and systemsLars Malmqvist2024 · 123 citations
  92. Fast Distributed Inference Serving for Large Language ModelsarXiv 2023Bingyang Wu, Yinmin Zhong, Zili Zhang, et al.2023 · 123 citations
  93. Large Language Models as Tool MakersarXiv:2305.17126Tianle Cai, Xuezhi Wang, Tengyu Ma, et al.2023 · 123 citations
  94. LongNet: Scaling Transformers to 1,000,000,000 TokensarXiv:2307.02486Jiayu Ding, Shuming Ma, Li Dong, et al.2023 · 123 citations
  95. Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence NetworksTransactions of the Association for Computational Linguistics (TACL)R. Thomas McCoy, Robert Frank, Tal Linzen2020 · 123 citations
  96. BabyAI: A Platform to Study the Sample Efficiency of Grounded Language LearningarXiv:1810.08272Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, et al.2018 · 123 citations
  97. Online normalizer calculation for softmaxarXiv 2018 (NVIDIA)Maxim Milakov, Natalia Gimelshein2018 · 123 citations
  98. DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligencearXiv:2606.19348DeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 122 citations
  99. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 122 citations
  100. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 122 citations

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