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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 17 of 54 · 1601–1700 · ← Quoc Viet Le

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  1. Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochen Zhao, Xingxuan Li, Shafiq Joty, et al.2023 · 145 citations
  2. RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-EncoderConference on Empirical Methods in Natural Language Processing (EMNLP)Shitao Xiao, Zheng Liu, Yingxia Shao, et al.2022 · 145 citations
  3. TopiOCQA: Open-domain Conversational Question Answering with Topic SwitchingTransactions of the Association for Computational Linguistics (TACL)Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, et al.2022 · 145 citations
  4. PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum LearningFindings of the Association for Computational LinguisticsSiqi Bao, Huang He, Fan Wang, et al.2021 · 145 citations
  5. Diversity is All You Need: Learning Skills without a Reward FunctionarXiv:1802.06070Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, et al.2018 · 145 citations
  6. Simpler Context-Dependent Logical Forms via Model ProjectionsAnnual Meeting of the Association for Computational Linguistics (ACL)Reginald Long, Panupong Pasupat, Percy Liang2016 · 145 citations
  7. MiniLLM: On-Policy Distillation of Large Language ModelsarXiv:2306.08543Yuxian Gu, Li Dong, Furu Wei, et al.2023 · 144 citations
  8. SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked PrefillsarXiv 2023Amey Agrawal, Ashish Panwar, Jayashree Mohan, et al.2023 · 144 citations
  9. Efficient Training of Language Models to Fill in the MiddlearXiv:2207.14255Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 144 citations
  10. InternVideo: General Video Foundation Models via Generative and Discriminative LearningarXiv:2212.03191Yi Wang, Kunchang Li, Yizhuo Li, et al.2022 · 144 citations
  11. Iteratively Prompt Pre-trained Language Models for Chain of ThoughtConference on Empirical Methods in Natural Language Processing (EMNLP)Boshi Wang, Xiang Deng, Huan Sun2022 · 144 citations
  12. Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Ji Ma, Ivan Korotkov, Yinfei Yang, et al.2021 · 144 citations
  13. GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Lishan Huang, Zheng Ye, Jinghui Qin, et al.2020 · 144 citations
  14. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationarXiv:2307.03987Neeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 143 citations
  15. Rethinking with Retrieval: Faithful Large Language Model InferencearXiv:2301.00303Hangfeng He, Hongming Zhang, Dan Roth2023 · 143 citations
  16. Understanding the Effects of RLHF on LLM Generalisation and DiversityarXiv:2310.06452Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 143 citations
  17. Measuring the Intrinsic Dimension of Objective LandscapesarXiv:1804.08838Chunyuan Li, Heerad Farkhoor, Rosanne Liu, et al.2018 · 143 citations
  18. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse AttentionarXiv:2502.11089Jingyang Yuan, Huazuo Gao, Damai Dai, et al.2025 · 142 citations
  19. Dense X Retrieval: What Retrieval Granularity Should We Use?Conference on Empirical Methods in Natural Language Processing (EMNLP)Tong Chen, Hongwei Wang, Sihao Chen, et al.2024 · 142 citations
  20. Many-Shot In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 142 citations
  21. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
  22. Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and BeyondIEEE Transactions on Knowledge and Data EngineeringFangzhi Xu, Qika Lin, Jiawei Han, et al.2023 · 142 citations
  23. Eureka: Human-Level Reward Design via Coding Large Language ModelsarXiv:2310.12931Yecheng Jason Ma, William Liang, Guanzhi Wang, et al.2023 · 142 citations
  24. Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and FaithfulnessarXiv:2304.11633Bo Li, Gexiang Fang, Yang Yang, et al.2023 · 142 citations
  25. A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Liu, Yizhe Zhang, Chris Brockett, et al.2022 · 142 citations
  26. Rethinking embedding coupling in pre-trained language modelsarXiv:2010.12821Hyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
  27. Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of WordsConference on Empirical Methods in Natural Language Processing (EMNLP)Debanjan Ghosh, Weiwei Guo, Smaranda Muresan2015 · 142 citations
  28. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningarXiv:2503.05592Huatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 141 citations
  29. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation TasksarXiv:2406.18403Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.2024 · 141 citations
  30. DeepInception: Hypnotize Large Language Model to Be JailbreakerarXiv:2311.03191Xuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 141 citations
  31. Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryConference on Neural Information Processing Systems (NeurIPS)Yuxin Wen, Neel Jain, John Kirchenbauer, et al.2023 · 141 citations
  32. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 141 citations
  33. SLiC-HF: Sequence Likelihood Calibration with Human FeedbackarXiv:2305.10425Yao Zhao, Rishabh Joshi, Tianqi Liu, et al.2023 · 141 citations
  34. IndicBART: A Pre-trained Model for Indic Natural Language GenerationFindings of the Association for Computational LinguisticsRaj Dabre, Himani Shrotriya, Anoop Kunchukuttan, et al.2022 · 141 citations
  35. RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionFindings of the Association for Computational LinguisticsYew Ken Chia, Lidong Bing, Soujanya Poria, et al.2022 · 141 citations
  36. Bot-Adversarial Dialogue for Safe Conversational AgentsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jing Xu, Da Ju, Margaret Li, et al.2021 · 141 citations
  37. CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding TasksarXiv:2105.12655Ruchir Puri, David S. Kung, Geert Janssen, et al.2021 · 141 citations
  38. Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTsTransactions of the Association for Computational Linguistics (TACL)Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, et al.2021 · 141 citations
  39. Beat the AI: Investigating Adversarial Human Annotation for Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL)Max Bartolo, Alastair Roberts, Johannes Welbl, et al.2020 · 141 citations
  40. CoVoST 2 and Massively Multilingual Speech-to-Text TranslationarXiv:2007.10310Changhan Wang, Anne Wu, Juan Pino2020 · 141 citations
  41. Trivial Transfer Learning for Low-Resource Neural Machine TranslationConference on Machine Translation: Research PapersTom Kocmi, Ondřej Bojar2018 · 141 citations
  42. Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction StrategiesTransactions of the Association for Computational Linguistics (TACL)Liangming Pan, Michael Saxon, Wenda Xu, et al.2024 · 140 citations
  43. Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey DesignTransactions of the Association for Computational Linguistics (TACL)Lindia Tjuatja, Valerie Chen, Tongshuang Wu, et al.2024 · 140 citations
  44. MLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringarXiv:2410.07095Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, et al.2024 · 140 citations
  45. MLVU: Benchmarking Multi-task Long Video UnderstandingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunjie Zhou, Yan Shu, Bo Zhao, et al.2024 · 140 citations
  46. Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-StepAnnual Meeting of the Association for Computational Linguistics (ACL)Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.2023 · 140 citations
  47. Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationarXiv:2307.05300Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al.2023 · 140 citations
  48. TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text GenerationFindings of the Association for Computational LinguisticsAdaku Uchendu, Zeyu Ma, Thai Le, et al.2021 · 140 citations
  49. On The Evaluation of Machine Translation Systems Trained With Back-TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.2020 · 140 citations
  50. UER: An Open-Source Toolkit for Pre-training ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhe Zhao, Hui Chen, Jinbin Zhang, et al.2019 · 140 citations
  51. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
  52. Self-Alignment with Instruction BacktranslationarXiv:2308.06259Xian Li, Ping Yu, Chunting Zhou, et al.2023 · 139 citations
  53. Exploring Length Generalization in Large Language ModelsarXiv:2207.04901Cem Anil, Yuhuai Wu, Anders Andreassen, et al.2022 · 139 citations
  54. All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational QualityConference on Empirical Methods in Natural Language Processing (EMNLP)William Timkey, Marten van Schijndel2021 · 139 citations
  55. ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yujia Qin, Yankai Lin, Ryuichi Takanobu, et al.2021 · 139 citations
  56. Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic ReasoningarXiv:2105.04165Pan Lu, Ran Gong, Shibiao Jiang, et al.2021 · 139 citations
  57. Representing Numbers in NLP: a Survey and a VisionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Avijit Thawani, Jay Pujara, Filip Ilievski, et al.2021 · 139 citations
  58. LLaVA-CoT: Let Vision Language Models Reason Step-by-StepIEEE/CVF International Conference on Computer Vision (ICCV)Guowei Xu, Peng Jin, Ziang Wu, et al.2024 · 138 citations
  59. Long-context LLMs Struggle with Long In-context LearningarXiv:2404.02060Tianle Li, Ge Zhang, Quy Duc Do, et al.2024 · 138 citations
  60. Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse ModelsarXiv:2404.18796Pat Verga, Sebastian Hofstatter, Sophia Althammer, et al.2024 · 138 citations
  61. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningarXiv:2409.12183Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 138 citations
  62. SOTOPIA: Interactive Evaluation for Social Intelligence in Language AgentsarXiv:2310.11667Xuhui Zhou, Hao Zhu, Leena Mathur, et al.2023 · 138 citations
  63. Theory of Mind for Multi-Agent Collaboration via Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Huao Li, Yu Chong, Simon Stepputtis, et al.2023 · 138 citations
  64. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsarXiv:2212.08037Bernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 138 citations
  65. FaithDial: A Faithful Benchmark for Information-Seeking DialogueTransactions of the Association for Computational Linguistics (TACL)Nouha Dziri, Ehsan Kamalloo, Sivan Milton, et al.2022 · 138 citations
  66. Deep Learning for Symbolic MathematicsarXiv:1912.01412Guillaume Lample, François Charton2019 · 138 citations
  67. Inoculation by Fine-Tuning: A Method for Analyzing Challenge DatasetsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nelson F. Liu, Roy Schwartz, Noah A. Smith2019 · 138 citations
  68. Character-Level Language Modeling with Deeper Self-AttentionProceedings of the AAAI Conference on Artificial IntelligenceRami Al-Rfou, Dokook Choe, Noah Constant, et al.2018 · 138 citations
  69. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingarXiv:2412.10302Zhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 137 citations
  70. DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Weihang Su, Yichen Tang, Qingyao Ai, et al.2024 · 137 citations
  71. RAFT: Adapting Language Model to Domain Specific RAGarXiv:2403.10131Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 137 citations
  72. Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4VarXiv:2310.11441Jianwei Yang, Hao Zhang, Feng Li, et al.2023 · 137 citations
  73. Decontextualization: Making Sentences Stand-AloneTransactions of the Association for Computational Linguistics (TACL)Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, et al.2021 · 137 citations
  74. Lost in Translation: Loss and Decay of Linguistic Richness in Machine TranslationProceedings of Machine Translation Summit XVII: Research TrackEva Vanmassenhove, Dimitar Shterionov, Andy Way2019 · 137 citations
  75. Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning RepresentationsComputational Linguistics in the Netherlands JournalRik van Noord, Johan Bos2017 · 137 citations
  76. Continuously Learning Neural Dialogue ManagementarXiv:1606.02689Pei-Hao Su, Milica Gasic, Nikola Mrksic, et al.2016 · 137 citations
  77. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsFindings of the Association for Computational LinguisticsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 136 citations
  78. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsFindings of the Association for Computational LinguisticsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 136 citations
  79. Token-Budget-Aware LLM ReasoningarXiv:2412.18547Tingxu Han, Zhenting Wang, Chunrong Fang, et al.2024 · 136 citations
  80. A fine-grained comparison of pragmatic language understanding in humans and language modelsJennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.2023 · 136 citations
  81. Grounded Adaptation for Zero-shot Executable Semantic ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Victor Zhong, Mike Lewis, Sida I. Wang, et al.2020 · 136 citations
  82. DRCD: a Chinese Machine Reading Comprehension DatasetarXiv:1806.00920Chih Chieh Shao, Trois Liu, Yuting Lai, et al.2018 · 136 citations
  83. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksarXiv:2412.15204Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 135 citations
  84. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsarXiv:2309.07875Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 135 citations
  85. Secrets of RLHF in Large Language Models Part I: PPOarXiv:2307.04964Rui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 135 citations
  86. Self-Knowledge Guided Retrieval Augmentation for Large Language ModelsFindings of the Association for Computational LinguisticsYile Wang, Peng Li, Maosong Sun, et al.2023 · 135 citations
  87. AdaMix: Mixture-of-Adaptations for Parameter-efficient Model TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, et al.2022 · 135 citations
  88. Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wenkai Yang, Lei Li, Zhiyuan Zhang, et al.2021 · 135 citations
  89. Affective and Contextual Embedding for Sarcasm DetectionInternational Conference on Computational Linguistics (COLING)Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.2020 · 135 citations
  90. Domain Robustness in Neural Machine TranslationConference of the Association for Machine Translation in the Americas (AMTA)Mathias Müller, Annette Rios, Rico Sennrich2020 · 135 citations
  91. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 135 citations
  92. Learning Simplifications for Specific Target AudiencesAnnual Meeting of the Association for Computational Linguistics (ACL)Carolina Scarton, Lucia Specia2018 · 135 citations
  93. ReFT: Reasoning with Reinforced Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Luong Trung, Xinbo Zhang, Zhanming Jie, et al.2024 · 134 citations
  94. Analyzing and Mitigating Object Hallucination in Large Vision-Language ModelsarXiv:2310.00754Yiyang Zhou, Chenhang Cui, Jaehong Yoon, et al.2023 · 134 citations
  95. FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationarXiv:2310.03214Tu Vu, Mohit Iyyer, Xuezhi Wang, et al.2023 · 134 citations
  96. Simple synthetic data reduces sycophancy in large language modelsarXiv:2308.03958Jerry Wei, Da Huang, Yifeng Lu, et al.2023 · 134 citations
  97. The Impact of Positional Encoding on Length Generalization in TransformersConference on Neural Information Processing Systems (NeurIPS)Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, et al.2023 · 134 citations
  98. Few-Shot Self-Rationalization with Natural Language PromptsFindings of the Association for Computational LinguisticsAna Marasovic, Iz Beltagy, Doug Downey, et al.2022 · 134 citations
  99. Open Domain Question Answering over Tables via Dense RetrievalConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jonathan Herzig, Thomas Müller, Syrine Krichene, et al.2021 · 134 citations
  100. When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD DatasetarXiv:2104.08671Lucia Zheng, Neel Guha, Brandon R. Anderson, et al.2021 · 134 citations

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