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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 12 of 54 · 1101–1200 · ← Quoc Viet Le

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  1. OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel CorporaLanguage Resources and Evaluation Conference (LREC)Pierre Lison, Jörg Tiedemann, Milen Kouylekov2018 · 236 citations
  2. From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal LikelihoodAnnual Meeting of the Association for Computational Linguistics (ACL)Kelvin Guu, Panupong Pasupat, Evan Liu, et al.2017 · 236 citations
  3. Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual ConstraintsTransactions of the Association for Computational Linguistics (TACL)Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha, et al.2017 · 236 citations
  4. Detecting and Preventing Hallucinations in Large Vision Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceAnisha Gunjal, Jihan Yin, Erhan Bas2023 · 235 citations
  5. Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical StudyACM International Conference on Web Search and Data Mining (WSDM)Yuan Sui, Mengyu Zhou, Mingjie Zhou, et al.2023 · 235 citations
  6. Compositional Questions Do Not Necessitate Multi-hop ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Eric Wallace, Sameer Singh, et al.2019 · 235 citations
  7. Evaluating Commonsense in Pre-trained Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceXuhui Zhou, Yue Zhang, Leyang Cui, et al.2019 · 235 citations
  8. Self-Guided Contrastive Learning for BERT Sentence RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Taeuk Kim, Kang Min Yoo, Sang-goo Lee2021 · 234 citations
  9. How Context Affects Language Models' Factual PredictionsarXiv:2005.04611Fabio Petroni, Patrick Lewis, Aleksandra Piktus, et al.2020 · 234 citations
  10. TweepFake: about Detecting Deepfake TweetsPLoS ONETiziano Fagni, Fabrizio Falchi, Margherita Gambini, et al.2020 · 234 citations
  11. Dialog State Tracking: A Neural Reading Comprehension ApproachAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, et al.2019 · 234 citations
  12. A Study of Reinforcement Learning for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Lijun Wu, Fei Tian, Tao Qin, et al.2018 · 234 citations
  13. Steering Language Models With Activation EngineeringarXiv:2308.10248Alexander Matt Turner, Lisa Thiergart, Gavin Leech, et al.2023 · 233 citations
  14. Hurdles to Progress in Long-form Question AnsweringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kalpesh Krishna, Aurko Roy, Mohit Iyyer2021 · 233 citations
  15. Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph InformationAnnual Meeting of the Association for Computational Linguistics (ACL)Michele Bevilacqua, Roberto Navigli2020 · 233 citations
  16. A Deep Generative Framework for Paraphrase GenerationarXiv:1709.05074Ankush Gupta, Arvind Agarwal, Prawaan Singh, et al.2017 · 233 citations
  17. MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?Lecture notes in computer scienceRenrui Zhang, Dongzhi Jiang, Yichi Zhang, et al.2024 · 232 citations
  18. Detecting Hallucinated Content in Conditional Neural Sequence GenerationFindings of the Association for Computational LinguisticsChunting Zhou, Graham Neubig, Jiatao Gu, et al.2021 · 232 citations
  19. Learning a SAT Solver from Single-Bit SupervisionarXiv:1802.03685Daniel Selsam, Matthew Lamm, Benedikt Bünz, et al.2018 · 232 citations
  20. Towards Conversational Recommendation over Multi-Type DialogsAnnual Meeting of the Association for Computational Linguistics (ACL)Zeming Liu, Haifeng Wang, Zheng-Yu Niu, et al.2020 · 230 citations
  21. Interpretation of Natural Language Rules in Conversational Machine ReadingConference on Empirical Methods in Natural Language Processing (EMNLP)Marzieh Saeidi, Max Bartolo, Patrick Lewis, et al.2018 · 230 citations
  22. LLaMA-Adapter V2: Parameter-Efficient Visual Instruction ModelarXiv:2304.15010Peng Gao, Jiaming Han, Renrui Zhang, et al.2023 · 229 citations
  23. Strong Baselines for Neural Semi-Supervised Learning under Domain ShiftAnnual Meeting of the Association for Computational Linguistics (ACL)Sebastian Ruder, Barbara Plank2018 · 229 citations
  24. Progress measures for grokking via mechanistic interpretabilityarXiv:2301.05217Neel Nanda, Lawrence Chan, Tom Lieberum, et al.2023 · 228 citations
  25. Self-critiquing models for assisting human evaluatorsarXiv:2206.05802William Saunders, Catherine Yeh, Jeff Wu, et al.2022 · 228 citations
  26. Open-Domain Question Answering Goes Conversational via Question RewritingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al.2021 · 228 citations
  27. Coreferential Reasoning Learning for Language RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP)Deming Ye, Yankai Lin, Jiaju Du, et al.2020 · 228 citations
  28. Overview of the TREC 2019 deep learning trackarXiv:2003.07820Nick Craswell, Bhaskar Mitra, Emine Yilmaz, et al.2020 · 228 citations
  29. The University of Edinburgh's Neural MT Systems for WMT17Conference on Machine Translation (WMT)Rico Sennrich, Alexandra Birch, Anna Currey, et al.2017 · 228 citations
  30. Qwen2.5-Omni Technical ReportarXiv:2503.20215Jin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 227 citations
  31. Tower: An Open Multilingual Large Language Model for Translation-Related TasksarXiv:2402.17733Duarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.2024 · 227 citations
  32. MTNT: A Testbed for Machine Translation of Noisy TextConference on Empirical Methods in Natural Language Processing (EMNLP)Paul Michel, Graham Neubig2018 · 227 citations
  33. How Language Model Hallucinations Can SnowballarXiv:2305.13534Muru Zhang, Ofir Press, William Merrill, et al.2023 · 226 citations
  34. Towards String-To-Tree Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Roee Aharoni, Yoav Goldberg2017 · 226 citations
  35. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem SolvingarXiv:2309.17452Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 225 citations
  36. Searching for Effective Neural Extractive Summarization: What Works and What's NextAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhong, Pengfei Liu, Danqing Wang, et al.2019 · 225 citations
  37. Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging TasksarXiv:1801.07772 · IJCNLP 8 (2017), volume 1, 1-10Yonatan Belinkov, Lluis Marquez, Hassan Sajjad, et al.2017 · 225 citations
  38. DataComp: In search of the next generation of multimodal datasetsConference on Neural Information Processing Systems (NeurIPS)Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, et al.2023 · 224 citations
  39. Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingarXiv:2305.07004Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023 · 224 citations
  40. Reinforced Self-Training (ReST) for Language ModelingarXiv:2308.08998Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 224 citations
  41. Specializing Smaller Language Models towards Multi-Step ReasoningarXiv:2301.12726Yao Fu, Hao Peng, Litu Ou, et al.2023 · 224 citations
  42. Unsupervised Evaluation of Interactive Dialog with DialoGPTAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Shikib Mehri, Maxine Eskenazi2020 · 224 citations
  43. GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical InformationBioinformaticsQiao Jin, Yifan Yang, Qingyu Chen, et al.2023 · 223 citations
  44. Self-planning Code Generation with Large Language ModelsACM Transactions on Software Engineering and MethodologyXue Jiang, Yihong Dong, Lecheng Wang, et al.2023 · 223 citations
  45. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 223 citations
  46. Transformer Memory as a Differentiable Search IndexConference on Neural Information Processing Systems (NeurIPS)Yi Tay, Vinh Q. Tran, Mostafa Dehghani, et al.2022 · 223 citations
  47. Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityAnnual Meeting of the Association for Computational Linguistics (ACL)John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, et al.2019 · 223 citations
  48. MITRE at SemEval-2016 Task 6: Transfer Learning for Stance DetectionInternational Workshop on Semantic Evaluation (SemEval)Guido Zarrella, Amy Marsh2016 · 223 citations
  49. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsarXiv:2405.17428Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 222 citations
  50. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLParXiv:2212.14024Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 222 citations
  51. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeConference on Neural Information Processing Systems (NeurIPS)Karthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022 · 222 citations
  52. A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Pedro Javier Ortiz Suárez, Laurent Romary, Benoît Sagot2020 · 222 citations
  53. Break It Down: A Question Understanding BenchmarkTransactions of the Association for Computational Linguistics (TACL)Tomer Wolfson, Mor Geva, Ankit Gupta, et al.2020 · 222 citations
  54. Unsupervised Question Decomposition for Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Patrick Lewis, Wen-tau Yih, et al.2020 · 222 citations
  55. Unsupervised Deep Embedding for Clustering AnalysisInternational Conference on Machine Learning (ICML)Junyuan Xie, Ross Girshick, Ali Farhadi2016 · 222 citations
  56. OpenHands: An Open Platform for AI Software Developers as Generalist AgentsarXiv:2407.16741Xingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 221 citations
  57. Med-HALT: Medical Domain Hallucination Test for Large Language ModelsConference on Computational Natural Language Learning (CoNLL)Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu2023 · 221 citations
  58. Correcting Length Bias in Neural Machine TranslationarXiv:1808.10006Kenton Murray, David Chiang2018 · 221 citations
  59. Few-Shot Charge Prediction with Discriminative Legal AttributesInternational Conference on Computational Linguistics (COLING)Zikun Hu, Xiang Li, Cunchao Tu, et al.2018 · 221 citations
  60. AlpaGasus: Training A Better Alpaca with Fewer DataarXiv:2307.08701Lichang Chen, Shiyang Li, Jun Yan, et al.2023 · 220 citations
  61. Multilingual Translation from Denoising Pre-TrainingFindings of the Association for Computational LinguisticsYuqing Tang, Chau Tran, Xian Li, et al.2021 · 220 citations
  62. Distilling Reasoning Capabilities into Smaller Language ModelsFindings of the Association for Computational LinguisticsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 219 citations
  63. Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical ReasoningarXiv:2209.14610Pan Lu, Liang Qiu, Kai-Wei Chang, et al.2022 · 219 citations
  64. FOLIO: Natural Language Reasoning with First-Order LogicarXiv:2209.00840Simeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 219 citations
  65. Maieutic Prompting: Logically Consistent Reasoning with Recursive ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP)Jaehun Jung, Lianhui Qin, Sean Welleck, et al.2022 · 219 citations
  66. SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL)Junyi Ao, Rui Wang, Long Zhou, et al.2022 · 219 citations
  67. Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language ProcessingComputational LinguisticsEdoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, et al.2019 · 219 citations
  68. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsarXiv:2308.16149Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 218 citations
  69. TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question AnsweringIEEE/CVF International Conference on Computer Vision (ICCV)Yushi Hu, Benlin Liu, Jungo Kasai, et al.2023 · 218 citations
  70. Teaching language models to support answers with verified quotesarXiv:2203.11147Jacob Menick, Maja Trebacz, Vladimir Mikulik, et al.2022 · 218 citations
  71. Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, et al.2020 · 218 citations
  72. Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mosh Levy, Alon Jacoby, Yoav Goldberg2024 · 217 citations
  73. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsarXiv:2308.10848Weize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 217 citations
  74. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LuncharXiv:2311.03099Le Yu, Bowen Yu, Haiyang Yu, et al.2023 · 217 citations
  75. Making Language Models Better Reasoners with Step-Aware VerifierAnnual Meeting of the Association for Computational Linguistics (ACL)Yifei Li, Zeqi Lin, Shizhuo Zhang, et al.2023 · 217 citations
  76. Safe RLHF: Safe Reinforcement Learning from Human FeedbackarXiv:2310.12773Josef Dai, Xuehai Pan, Ruiyang Sun, et al.2023 · 217 citations
  77. Incorporating Global Visual Features into Attention-Based Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Iacer Calixto, Qun Liu, Nick Campbell2017 · 217 citations
  78. Learning to Parse and Translate Improves Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho2017 · 217 citations
  79. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?arXiv:2504.13837 · NeurIPS 2025 Oral; ICML 2025 AI4MATH workshop best paperYang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 216 citations
  80. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsarXiv:2504.10479Jinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 216 citations
  81. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 216 citations
  82. LLM+P: Empowering Large Language Models with Optimal Planning ProficiencyarXiv:2304.11477Bo Liu, Yuqian Jiang, Xiaohan Zhang, et al.2023 · 216 citations
  83. You Impress Me: Dialogue Generation via Mutual Persona PerceptionAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Liu, Yihong Chen, Bei Chen, et al.2020 · 215 citations
  84. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
  85. Answers Unite! Unsupervised Metrics for Reinforced Summarization ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, et al.2019 · 214 citations
  86. Did the Model Understand the Question?Annual Meeting of the Association for Computational Linguistics (ACL)Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, et al.2018 · 214 citations
  87. MADLAD-400: A Multilingual And Document-Level Large Audited DatasetConference on Neural Information Processing Systems (NeurIPS)Sneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 213 citations
  88. Challenges in Detoxifying Language ModelsFindings of the Association for Computational LinguisticsJohannes Welbl, Amelia Glaese, Jonathan Uesato, et al.2021 · 213 citations
  89. An Unsupervised Sentence Embedding Method by Mutual Information MaximizationConference on Empirical Methods in Natural Language Processing (EMNLP)Yan Zhang, Ruidan He, Zuozhu Liu, et al.2020 · 213 citations
  90. Data-Driven Sentence Simplification: Survey and BenchmarkComputational LinguisticsFernando Alva-Manchego, Carolina Scarton, Lucia Specia2020 · 213 citations
  91. What matters when building vision-language models?Conference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 212 citations
  92. Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Findings of the Association for Computational LinguisticsYubo Ma, Yixin Cao, Yong Hong, et al.2023 · 212 citations
  93. Ring Attention with Blockwise Transformers for Near-Infinite ContextarXiv:2310.01889Hao Liu, Matei Zaharia, Pieter Abbeel2023 · 212 citations
  94. Sources of Hallucination by Large Language Models on Inference TasksFindings of the Association for Computational LinguisticsNick McKenna, Tianyi Li, Liang Cheng, et al.2023 · 212 citations
  95. Language Models of Code are Few-Shot Commonsense LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Aman Madaan, Shuyan Zhou, Uri Alon, et al.2022 · 212 citations
  96. Search-o1: Agentic Search-Enhanced Large Reasoning ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaoxi Li, Guanting Dong, Jiajie Jin, et al.2025 · 211 citations
  97. ChemCrow: Augmenting large-language models with chemistry toolsarXiv:2304.05376Andres M Bran, Sam Cox, Oliver Schilter, et al.2023 · 211 citations
  98. Deep Multitask Learning for Semantic Dependency ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Sam Thomson, Noah A. Smith2017 · 211 citations
  99. Morphological Inflection Generation with Hard Monotonic AttentionAnnual Meeting of the Association for Computational Linguistics (ACL)Roee Aharoni, Yoav Goldberg2017 · 211 citations
  100. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelinearXiv:2406.11939Tianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 210 citations

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