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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 10 of 54 · 901–1000 · ← Quoc Viet Le

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  1. BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaFindings of the Association for Computational LinguisticsAbhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, et al.2022 · 296 citations
  2. Survey: Multiword Expression Processing: A SurveyComputational LinguisticsMathieu Constant, Gülşen Eryiǧit, Johanna Monti, et al.2017 · 296 citations
  3. MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningarXiv:2309.05653Xiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 295 citations
  4. Can language models learn from explanations in context?Findings of the Association for Computational LinguisticsAndrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 295 citations
  5. Learning Joint Multilingual Sentence Representations with Neural Machine TranslationWorkshop on Representation Learning for NLPHolger Schwenk, Matthijs Douze2017 · 295 citations
  6. Prompting Large Language Model for Machine Translation: A Case StudyarXiv:2301.07069Biao Zhang, Barry Haddow, Alexandra Birch2023 · 294 citations
  7. HAT: Hardware-Aware Transformers for Efficient Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL)Hanrui Wang, Zhanghao Wu, Zhijian Liu, et al.2020 · 294 citations
  8. A Benchmark Dataset for Learning to Intervene in Online Hate SpeechConference on Empirical Methods in Natural Language Processing (EMNLP)Jing Qian, Anna Bethke, Yinyin Liu, et al.2019 · 293 citations
  9. Exploiting Cross-Sentence Context for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Longyue Wang, Zhaopeng Tu, Andy Way, et al.2017 · 293 citations
  10. Text Classification via Large Language ModelsFindings of the Association for Computational LinguisticsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
  11. Ranking Sentences for Extractive Summarization with Reinforcement LearningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shashi Narayan, Shay B. Cohen, Mirella Lapata2018 · 290 citations
  12. TreeTalk: Composition and Compression of Trees for Image DescriptionsTransactions of the Association for Computational Linguistics (TACL)Polina Kuznetsova, Vicente Ordonez, Tamara L. Berg, et al.2014 · 290 citations
  13. emrQA: A Large Corpus for Question Answering on Electronic Medical RecordsConference on Empirical Methods in Natural Language Processing (EMNLP)Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al.2018 · 289 citations
  14. Learning to Translate in Real-time with Neural Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jiatao Gu, Graham Neubig, Kyunghyun Cho, et al.2017 · 289 citations
  15. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
  16. Large Language Model based Multi-Agents: A Survey of Progress and ChallengesarXiv:2402.01680Taicheng Guo, Xiuying Chen, Yaqi Wang, et al.2024 · 288 citations
  17. PAQ: 65 Million Probably-Asked Questions and What You Can Do With ThemTransactions of the Association for Computational Linguistics (TACL)Patrick Lewis, Yuxiang Wu, Linqing Liu, et al.2021 · 288 citations
  18. Text Generation from Knowledge Graphs with Graph TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, et al.2019 · 288 citations
  19. Transfer Learning across Low-Resource, Related Languages for Neural Machine TranslationInternational Joint Conference on Natural Language Processing (IJCNLP)Toan Q. Nguyen, David Chiang2017 · 288 citations
  20. Hierarchical Multiscale Recurrent Neural NetworksarXiv:1609.01704Junyoung Chung, Sungjin Ahn, Yoshua Bengio2016 · 288 citations
  21. Learning Grounded Meaning Representations with AutoencodersAnnual Meeting of the Association for Computational Linguistics (ACL)Carina Silberer, Mirella Lapata2014 · 288 citations
  22. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
  23. Learning Neural Templates for Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sam Wiseman, Stuart Shieber, Alexander Rush2018 · 287 citations
  24. A Hierarchical Neural Autoencoder for Paragraphs and DocumentsarXiv:1506.01057Jiwei Li, Minh-Thang Luong, Dan Jurafsky2015 · 287 citations
  25. Kosmos-2: Grounding Multimodal Large Language Models to the WorldarXiv:2306.14824Zhiliang Peng, Wenhui Wang, Li Dong, et al.2023 · 286 citations
  26. Llemma: An Open Language Model For MathematicsarXiv:2310.10631Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 286 citations
  27. An Explanation of In-context Learning as Implicit Bayesian InferencearXiv:2111.02080Sang Michael Xie, Aditi Raghunathan, Percy Liang, et al.2021 · 286 citations
  28. ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326Weihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 286 citations
  29. Cloze-driven Pretraining of Self-attention NetworksarXiv:1903.07785Alexei Baevski, Sergey Edunov, Yinhan Liu, et al.2019 · 286 citations
  30. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesarXiv:2310.03714Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 285 citations
  31. Larger language models do in-context learning differentlyarXiv:2303.03846Jerry Wei, Jason Wei, Yi Tay, et al.2023 · 285 citations
  32. MEGA: Multilingual Evaluation of Generative AIarXiv:2303.12528Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 285 citations
  33. BAM! Born-Again Multi-Task Networks for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, et al.2019 · 285 citations
  34. Structured Denoising Diffusion Models in Discrete State-SpacesarXiv:2107.03006Jacob Austin, Daniel D. Johnson, Jonathan Ho, et al.2021 · 284 citations
  35. Spelling Error Correction with Soft-Masked BERTAnnual Meeting of the Association for Computational Linguistics (ACL)Shaohua Zhang, Haoran Huang, Jicong Liu, et al.2020 · 284 citations
  36. A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series ModelsarXiv:2303.10420Junjie Ye, Xuanting Chen, Nuo Xu, et al.2023 · 283 citations
  37. Fine-grained Fact Verification with Kernel Graph Attention NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenghao Liu, Chenyan Xiong, Maosong Sun, et al.2020 · 283 citations
  38. Getting Gender Right in Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Eva Vanmassenhove, Christian Hardmeier, Andy Way2018 · 283 citations
  39. Variational Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Biao Zhang, Deyi Xiong, Jinsong Su, et al.2016 · 283 citations
  40. Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence ModelsarXiv:1610.02424Ashwin K Vijayakumar, Michael Cogswell, Ramprasath R. Selvaraju, et al.2016 · 282 citations
  41. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsarXiv:2209.10063Wenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 281 citations
  42. Compositional Vector Space Models for Knowledge Base CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Arvind Neelakantan, Benjamin Roth, Andrew McCallum2015 · 281 citations
  43. Large Language Models for Mathematical Reasoning: Progresses and ChallengesConference of the European Chapter of the Association for Computational Linguistics (EACL)Janice Ahn, Rishu Verma, Renze Lou, et al.2024 · 280 citations
  44. Large Dual Encoders Are Generalizable RetrieversarXiv:2112.07899Jianmo Ni, Chen Qu, Jing Lu, et al.2021 · 280 citations
  45. Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question AnsweringarXiv:1911.10470Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, et al.2019 · 280 citations
  46. Beyond Data and Model Parallelism for Deep Neural NetworksSysML 2019Zhihao Jia, Matei Zaharia, Alex Aiken2018 · 280 citations
  47. Multilingual Language Processing From BytesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dan Gillick, Cliff Brunk, Oriol Vinyals, et al.2016 · 280 citations
  48. An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsLecture notes in computer scienceLiang Chen, Haozhe Zhao, Tianyu Liu, et al.2024 · 279 citations
  49. Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep LearningOSDI 2022Lianmin Zheng, Zhuohan Li, Hao Zhang, et al.2022 · 279 citations
  50. MIME: MIMicking Emotions for Empathetic Response GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Navonil Majumder, Pengfei Hong, Shanshan Peng, et al.2020 · 278 citations
  51. What do RNN Language Models Learn about Filler-Gap Dependencies?arXiv:1809.00042Ethan Wilcox, Roger Levy, Takashi Morita, et al.2018 · 278 citations
  52. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 277 citations
  53. Are We on the Right Way for Evaluating Large Vision-Language Models?Conference on Neural Information Processing Systems (NeurIPS)Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 277 citations
  54. Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al.2021 · 277 citations
  55. Surface Form Competition: Why the Highest Probability Answer Isn't Always RightConference on Empirical Methods in Natural Language Processing (EMNLP)Ari Holtzman, Peter West, Vered Shwartz, et al.2021 · 277 citations
  56. Graph Retrieval-Augmented Generation: A SurveyACM Transactions on Information SystemsBoci Peng, Yun Zhu, Yongchao Liu, et al.2024 · 276 citations
  57. Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nandan Thakur, Nils Reimers, Johannes Daxenberger, et al.2021 · 276 citations
  58. Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Angeliki Lazaridou, Georgiana Dinu, Marco Baroni2015 · 276 citations
  59. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
  60. GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsarXiv:2410.05229Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, et al.2024 · 273 citations
  61. Reducing Activation Recomputation in Large Transformer ModelsarXiv:2205.05198Vijay Korthikanti, Jared Casper, Sangkug Lym, et al.2022 · 273 citations
  62. PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPUACM SIGOPS Symposium on Operating Systems Principles (SOSP)Yixin Song, Zeyu Mi, Haotong Xie, et al.2023 · 272 citations
  63. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersAnnual Meeting of the Association for Computational Linguistics (ACL)Boshi Wang, Sewon Min, Xiang Deng, et al.2023 · 272 citations
  64. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsarXiv:2405.20362Varun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 271 citations
  65. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 270 citations
  66. GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationFindings of the Association for Computational LinguisticsKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 270 citations
  67. Attention is Not Only a Weight: Analyzing Transformers with Vector NormsConference on Empirical Methods in Natural Language Processing (EMNLP)Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, et al.2020 · 270 citations
  68. Retrieve, Rerank and Rewrite: Soft Template Based Neural SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqiang Cao, Wenjie Li, Sujian Li, et al.2018 · 270 citations
  69. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 269 citations
  70. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesarXiv:2404.06395Shengding Hu, Yuge Tu, Xu Han, et al.2024 · 269 citations
  71. DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language ModelsarXiv:2309.03883Yung-Sung Chuang, Yujia Xie, Hongyin Luo, et al.2023 · 269 citations
  72. Perceiver: General Perception with Iterative AttentionarXiv:2103.03206Andrew Jaegle, Felix Gimeno, Andrew Brock, et al.2021 · 269 citations
  73. Injecting Numerical Reasoning Skills into Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mor Geva, Ankit Gupta, Jonathan Berant2020 · 269 citations
  74. Learning to Optimize Tensor ProgramsarXiv:1805.08166Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.2019 · 269 citations
  75. Cross-lingual Dependency Parsing Based on Distributed RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiang Guo, Wanxiang Che, David Yarowsky, et al.2015 · 269 citations
  76. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 268 citations
  77. GraphGPT: Graph Instruction Tuning for Large Language ModelsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Jiabin Tang, Yuhao Yang, Wei Wei, et al.2023 · 268 citations
  78. Large Language Models Are Zero-Shot Time Series ForecastersConference on Neural Information Processing Systems (NeurIPS)Nate Gruver, Marc Finzi, Shikai Qiu, et al.2023 · 268 citations
  79. Predictability and Surprise in Large Generative ModelsACM Conference on Fairness, Accountability, and Transparency (FAccT)Deep Ganguli, Danny Hernandez, Liane Lovitt, et al.2022 · 268 citations
  80. When Are Tree Structures Necessary for Deep Learning of Representations?Conference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Thang Luong, Dan Jurafsky, et al.2015 · 267 citations
  81. An Analysis of Simple Data Augmentation for Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Xiang Dai, Heike Adel2020 · 266 citations
  82. SEED-Bench: Benchmarking Multimodal LLMs with Generative ComprehensionarXiv:2307.16125Bohao Li, Rui Wang, Guangzhi Wang, et al.2023 · 265 citations
  83. BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsNeurIPS 2021 Datasets and BenchmarksNandan Thakur, Nils Reimers, Andreas Rücklé, et al.2021 · 265 citations
  84. Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Haoyang Huang, Yaobo Liang, Nan Duan, et al.2019 · 265 citations
  85. Deep Recurrent Models with Fast-Forward Connections for Neural Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Jie Zhou, Ying Cao, Xuguang Wang, et al.2016 · 265 citations
  86. OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer EnvironmentsConference on Neural Information Processing Systems (NeurIPS)Tianbao Xie, Danyang Zhang, Jixuan Chen, et al.2024 · 264 citations
  87. Learning Global Features for Coreference ResolutionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sam Wiseman, Alexander M. Rush, Stuart M. Shieber2016 · 264 citations
  88. The Effect of Sampling Temperature on Problem Solving in Large Language ModelsFindings of the Association for Computational LinguisticsMatthew Renze2024 · 263 citations
  89. A General Theoretical Paradigm to Understand Learning from Human PreferencesarXiv:2310.12036Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot, et al.2023 · 263 citations
  90. Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic ParsingFindings of the Association for Computational LinguisticsXi Victoria Lin, Richard Socher, Caiming Xiong2020 · 263 citations
  91. How Can We Accelerate Progress Towards Human-like Linguistic Generalization?Annual Meeting of the Association for Computational Linguistics (ACL)Tal Linzen2020 · 263 citations
  92. Selective Attention for Context-aware Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sameen Maruf, André F. T. Martins, Gholamreza Haffari2019 · 263 citations
  93. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
  94. LLaMA-VID: An Image is Worth 2 Tokens in Large Language ModelsLecture notes in computer scienceYanwei Li, Chengyao Wang, Jiaya Jia2023 · 262 citations
  95. Measuring Faithfulness in Chain-of-Thought ReasoningarXiv:2307.13702Tamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.2023 · 262 citations
  96. CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to DatabasesConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Yu, Rui Zhang, Heyang Er, et al.2019 · 262 citations
  97. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsarXiv:2308.01825Zheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 261 citations
  98. DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI ScalearXiv:2201.05596Samyam Rajbhandari, Conglong Li, Zhewei Yao, et al.2022 · 261 citations
  99. Condenser: a Pre-training Architecture for Dense RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP)Luyu Gao, Jamie Callan2021 · 261 citations
  100. On Extractive and Abstractive Neural Document Summarization with Transformer Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jonathan Pilault, Raymond Li, Sandeep Subramanian, et al.2020 · 261 citations

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