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Who cites Geoffrey E. Hinton

11,868 citations of their works from 10,217 papers of our library (of the 149,439 whose bibliographies we read) · 1,205 with a page here, the most cited first · page 8 of 13 · 701–800 · ← Geoffrey E. Hinton

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  1. How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense RetrievalFindings of the Association for Computational LinguisticsSheng-Chieh Lin, Akari Asai, Minghan Li, et al.2023 · 116 citations
  2. SlideVQA: A Dataset for Document Visual Question Answering on Multiple ImagesProceedings of the AAAI Conference on Artificial IntelligenceRyota Tanaka, Kyosuke Nishida, Kosuke Nishida, et al.2023 · 116 citations
  3. End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Devendra Sachan, Mostofa Patwary, Mohammad Shoeybi, et al.2021 · 116 citations
  4. RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective AugmentationarXiv:2310.04408Fangyuan Xu, Weijia Shi, Eunsol Choi2023 · 115 citations
  5. MoEfication: Transformer Feed-forward Layers are Mixtures of ExpertsFindings of the Association for Computational LinguisticsZhengyan Zhang, Yankai Lin, Zhiyuan Liu, et al.2022 · 115 citations
  6. Document-level Neural MT: A Systematic ComparisonAnnual Conference of the European Association for Machine Translation (EAMT)António Lopes, M. Amin Farajian, Rachel Bawden, et al.2020 · 115 citations
  7. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingarXiv:2402.02057Yichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 114 citations
  8. Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language ModelsarXiv:2208.03306Margaret Li, Suchin Gururangan, Tim Dettmers, et al.2022 · 114 citations
  9. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
  10. Efficient Large Scale Language Modeling with Mixtures of ExpertsarXiv:2112.10684Mikel Artetxe, Shruti Bhosale, Naman Goyal, et al.2021 · 113 citations
  11. Simple and Effective Text Simplification Using Semantic and Neural MethodsElior Sulem, Omri Abend, Ari Rappoport2018 · 113 citations
  12. DistiLLM: Towards Streamlined Distillation for Large Language ModelsarXiv:2402.03898Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 112 citations
  13. RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wenkai Yang, Yankai Lin, Peng Li, et al.2021 · 112 citations
  14. Simpler and Faster Learning of Adaptive Policies for Simultaneous TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Baigong Zheng, Renjie Zheng, Mingbo Ma, et al.2019 · 112 citations
  15. Linear Transformers Are Secretly Fast Weight ProgrammersarXiv:2102.11174Imanol Schlag, Kazuki Irie, Jurgen Schmidhuber2021 · 111 citations
  16. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
  17. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
  18. LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA CompositionarXiv:2307.13269Chengsong Huang, Qian Liu, Bill Yuchen Lin, et al.2023 · 108 citations
  19. Learning to Retrieve In-Context Examples for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Liang Wang, Nan Yang, Furu Wei2024 · 106 citations
  20. LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale InstructionsarXiv:2304.14402Minghao Wu, Abdul Waheed, Chiyu Zhang, et al.2023 · 106 citations
  21. LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language ModelsInternational Conference on Learning Representations (ICLR)Gunho Park, Baeseong Park, Minsub Kim, et al.2022 · 103 citations
  22. Simulating Action Dynamics with Neural Process NetworksarXiv:1711.05313Antoine Bosselut, Omer Levy, Ari Holtzman, et al.2017 · 102 citations
  23. FireAct: Toward Language Agent Fine-tuningarXiv:2310.05915Baian Chen, Chang Shu, Ehsan Shareghi, et al.2023 · 101 citations
  24. FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Wan, Mohit Bansal2022 · 101 citations
  25. Evaluating Attribution in Dialogue Systems: The BEGIN BenchmarkTransactions of the Association for Computational Linguistics (TACL)Nouha Dziri, Hannah Rashkin, Tal Linzen, et al.2022 · 100 citations
  26. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningarXiv:2310.03731Ke Wang, Houxing Ren, Aojun Zhou, et al.2023 · 99 citations
  27. Transformer Quality in Linear TimearXiv:2202.10447Weizhe Hua, Zihang Dai, Hanxiao Liu, et al.2022 · 99 citations
  28. In-Order Transition-based Constituent ParsingTransactions of the Association for Computational Linguistics (TACL)Jiangming Liu, Yue Zhang2017 · 99 citations
  29. The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New LanguagesDingquan Wang, Jason Eisner2016 · 99 citations
  30. Hybrid LLM: Cost-Efficient and Quality-Aware Query RoutingarXiv:2404.14618Dujian Ding, Ankur Mallick, Chi Wang, et al.2024 · 98 citations
  31. OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning DatasetConference on Neural Information Processing Systems (NeurIPS)Shubham Toshniwal, Ivan Moshkov, Sean Narenthiran, et al.2024 · 98 citations
  32. Sparse Upcycling: Training Mixture-of-Experts from Dense CheckpointsarXiv:2212.05055Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, et al.2022 · 98 citations
  33. Cross-lingual Character-Level Neural Morphological TaggingConference on Empirical Methods in Natural Language Processing (EMNLP)Ryan Cotterell, Georg Heigold2017 · 98 citations
  34. Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language ModelsarXiv:2601.18734Siyan Zhao, Zhihui Xie, Mengchen Liu, et al.2026 · 97 citations
  35. A Survey of Confidence Estimation and Calibration in Large Language ModelsarXiv:2311.08298Jiahui Geng, Fengyu Cai, Yuxia Wang, et al.2023 · 97 citations
  36. Dataset DistillationarXiv:1811.10959Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, et al.2018 · 97 citations
  37. The IBM 2015 English Conversational Telephone Speech Recognition SystemInterspeechGeorge Saon, Hong-Kwang J. Kuo, Steven Rennie, et al.2015 · 97 citations
  38. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
  39. The Platonic Representation HypothesisarXiv:2405.07987Minyoung Huh, Brian Cheung, Tongzhou Wang, et al.2024 · 96 citations
  40. True Few-Shot Learning with Prompts–-A Real-World PerspectiveTransactions of the Association for Computational Linguistics (TACL)Timo Schick, Hinrich Schütze2022 · 96 citations
  41. Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a ParagraphConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zeyu Dai, Ruihong Huang2018 · 95 citations
  42. LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style PluginAnnual Meeting of the Association for Computational Linguistics (ACL)Shihan Dou, Enyu Zhou, Yan Liu, et al.2024 · 93 citations
  43. Rewarding Progress: Scaling Automated Process Verifiers for LLM ReasoningarXiv:2410.08146Amrith Setlur, Chirag Nagpal, Adam Fisch, et al.2024 · 93 citations
  44. Arabic Diacritization with Recurrent Neural NetworksYonatan Belinkov, James Glass2015 · 93 citations
  45. f-Divergence Minimization for Sequence-Level Knowledge DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuqiao Wen, Zichao Li, Wenyu Du, et al.2023 · 92 citations
  46. Accelerating Distributed MoE Training and Inference with LinaarXiv:2210.17223Jiamin Li, Yimin Jiang, Yibo Zhu, et al.2022 · 92 citations
  47. The NiuTrans Machine Translation Systems for WMT19Conference on Machine Translation (WMT)Bei Li, Yinqiao Li, Chen Xu, et al.2019 · 92 citations
  48. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
  49. Pre-training on high-resource speech recognition improves low-resource speech-to-text translationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sameer Bansal, Herman Kamper, Karen Livescu, et al.2019 · 91 citations
  50. BERT Busters: Outlier Dimensions that Disrupt TransformersFindings of the Association for Computational LinguisticsOlga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, et al.2021 · 90 citations
  51. Automated Design of Agentic SystemsarXiv:2408.08435Shengran Hu, Cong Lu, Jeff Clune2024 · 89 citations
  52. Massive Activations in Large Language ModelsarXiv:2402.17762Mingjie Sun, Xinlei Chen, J. Zico Kolter, et al.2024 · 88 citations
  53. Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xudong Lu, Qi Liu, Yuhui Xu, et al.2024 · 88 citations
  54. Landmark Attention: Random-Access Infinite Context Length for TransformersarXiv:2305.16300Amirkeivan Mohtashami, Martin Jaggi2023 · 88 citations
  55. Sequence-to-Sequence Data Augmentation for Dialogue Language UnderstandingInternational Conference on Computational Linguistics (COLING)Yutai Hou, Yijia Liu, Wanxiang Che, et al.2018 · 88 citations
  56. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
  57. Liger Kernel: Efficient Triton Kernels for LLM TrainingarXiv:2410.10989Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, et al.2024 · 87 citations
  58. First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTConference of the European Chapter of the Association for Computational Linguistics (EACL)Benjamin Muller, Yanai Elazar, Benoît Sagot, et al.2021 · 87 citations
  59. Themis: Fair and Efficient GPU Cluster SchedulingarXiv:1907.01484Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, et al.2019 · 87 citations
  60. Interpreting Neural Networks to Improve Politeness ComprehensionConference on Empirical Methods in Natural Language Processing (EMNLP)Malika Aubakirova, Mohit Bansal2016 · 87 citations
  61. LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Tong Zhu, Xiaoye Qu, Daize Dong, et al.2024 · 85 citations
  62. Extreme Compression of Large Language Models via Additive QuantizationInternational Conference on Machine Learning (ICML)Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, et al.2024 · 84 citations
  63. CoLT5: Faster Long-Range Transformers with Conditional ComputationConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Ainslie, Tao Lei, Michiel de Jong, et al.2023 · 84 citations
  64. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
  65. What Do Recurrent Neural Network Grammars Learn About Syntax?arXiv:1611.05774Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, et al.2016 · 83 citations
  66. Knowledge Fusion of Large Language ModelsarXiv:2401.10491Fanqi Wan, Xinting Huang, Deng Cai, et al.2024 · 82 citations
  67. Smaug: Fixing Failure Modes of Preference Optimisation with DPO-PositivearXiv:2402.13228Arka Pal, Deep Karkhanis, Samuel Dooley, et al.2024 · 82 citations
  68. Linearity of Relation Decoding in Transformer Language ModelsarXiv:2308.09124Evan Hernandez, Arnab Sen Sharma, Tal Haklay, et al.2023 · 82 citations
  69. vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignMICRO 2016Minsoo Rhu, Natalia Gimelshein, Jason Clemons, et al.2016 · 81 citations
  70. MoBA: Mixture of Block Attention for Long-Context LLMsConference on Neural Information Processing Systems (NeurIPS)Enzhe Lu, Zhejun Jiang, Jingyuan Liu, et al.2025 · 80 citations
  71. Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attentionarXiv:2404.07143Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal2024 · 80 citations
  72. A Systematic Study of Neural Discourse Models for Implicit Discourse RelationConference of the European Chapter of the Association for Computational Linguistics (EACL)Attapol Rutherford, Vera Demberg, Nianwen Xue2017 · 78 citations
  73. Evaluating prose style transfer with the BibleKeith Carlson, Allen Riddell, Daniel Rockmore2017 · 78 citations
  74. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-ScalingarXiv:2312.15166Dahyun Kim, Chanjun Park, Sanghoon Kim, et al.2023 · 77 citations
  75. SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented ParserConference on Empirical Methods in Natural Language Processing (EMNLP)Yue Zhang, Bo Zhang, Zhenghua Li, et al.2022 · 76 citations
  76. Arabic Speech Recognition by End-to-End, Modular Systems and HumanComputer Speech & LanguageAmir Hussein, Shinji Watanabe, Ahmed Ali2021 · 76 citations
  77. Reinforcement Learning via Self-DistillationarXiv:2601.20802Jonas Hubotter, Frederike Lubeck, Lejs Behric, et al.2026 · 74 citations
  78. QuRating: Selecting High-Quality Data for Training Language ModelsarXiv:2402.09739Alexander Wettig, Aatmik Gupta, Saumya Malik, et al.2024 · 74 citations
  79. ReLoRA: High-Rank Training Through Low-Rank UpdatesarXiv:2307.05695Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, et al.2023 · 74 citations
  80. NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNsInternational Workshop on Semantic Evaluation (SemEval)Christos Baziotis, Athanasiou Nikolaos, Pinelopi Papalampidi, et al.2018 · 74 citations
  81. What Language Model to Train if You Have One Million GPU Hours?arXiv:2210.15424Teven Le Scao, Thomas Wang, Daniel Hesslow, et al.2022 · 73 citations
  82. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
  83. Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at ScaleTransactions of the Association for Computational Linguistics (TACL)Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, et al.2022 · 72 citations
  84. code2seq: Generating Sequences from Structured Representations of CodearXiv:1808.01400Uri Alon, Shaked Brody, Omer Levy, et al.2018 · 72 citations
  85. The Unreasonable Ineffectiveness of the Deeper LayersarXiv:2403.17887Andrey Gromov, Kushal Tirumala, Hassan Shapourian, et al.2024 · 71 citations
  86. A Neural Architecture for Dialectal Arabic SegmentationYounes Samih, Mohammed Attia, Mohamed Eldesouki, et al.2017 · 71 citations
  87. Lion: Adversarial Distillation of Proprietary Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxin Jiang, Chunkit Chan, Mingyang Chen, et al.2023 · 70 citations
  88. Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language ModelsarXiv:2305.14705Sheng Shen, Le Hou, Yanqi Zhou, et al.2023 · 70 citations
  89. Towards Robustifying NLI Models Against Lexical Dataset BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Zhou, Mohit Bansal2020 · 70 citations
  90. Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction TuningarXiv:2309.05444Ted Zadouri, Ahmet Ustun, Arash Ahmadian, et al.2023 · 69 citations
  91. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
  92. An Empirical Study of Mamba-based Language ModelsarXiv:2406.07887Roger Waleffe, Wonmin Byeon, Duncan Riach, et al.2024 · 67 citations
  93. Learning by Distilling ContextarXiv:2209.15189Charlie Snell, Dan Klein, Ruiqi Zhong2022 · 67 citations
  94. The Devil in Linear TransformerConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Qin, Xiaodong Han, Weixuan Sun, et al.2022 · 67 citations
  95. Learning to Explain Non-Standard English Words and PhrasesInternational Joint Conference on Natural Language Processing (IJCNLP)Ke Ni, William Yang Wang2017 · 67 citations
  96. Dynamic Routing Transformer Network for Multimodal Sarcasm DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuan Tian, Nan Xu, Ruike Zhang, et al.2023 · 66 citations
  97. MARIO: MAth Reasoning with code Interpreter Output - A Reproducible PipelineFindings of the Association for Computational LinguisticsMinpeng Liao, Chengxi Li, Wei Luo, et al.2024 · 64 citations
  98. OpenMoE: An Early Effort on Open Mixture-of-Experts Language ModelsarXiv:2402.01739Fuzhao Xue, Zian Zheng, Yao Fu, et al.2024 · 64 citations
  99. A Novel Hierarchical BERT Architecture for Sarcasm DetectionWorkshop on Figurative Language ProcessingHimani Srivastava, Vaibhav Varshney, Surabhi Kumari, et al.2020 · 62 citations
  100. Small Models Struggle to Learn from Strong ReasonersFindings of the Association for Computational LinguisticsYuetai Li, Xiang Yue, Zhangchen Xu, et al.2025 · 61 citations

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