Elamur Research⌕
☰
home / authors / Geoffrey E. Hinton / cited by / page 6

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 6 of 13 · 501–600 · ← Geoffrey E. Hinton

1 … 5 6 7 … 10 … 13

  1. Learning a SAT Solver from Single-Bit SupervisionarXiv:1802.03685Daniel Selsam, Matthew Lamm, Benedikt Bünz, et al.2018 · 232 citations
  2. Concrete Problems in AI SafetyarXiv:1606.06565Dario Amodei, Chris Olah, Jacob Steinhardt, et al.2016 · 232 citations
  3. Understanding the Difficulty of Training TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Liyuan Liu, Xiaodong Liu, Jianfeng Gao, et al.2020 · 231 citations
  4. A Diagram Is Worth A Dozen ImagesarXiv:1603.07396Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al.2016 · 231 citations
  5. Cross-topic Argument Mining from Heterogeneous SourcesConference on Empirical Methods in Natural Language Processing (EMNLP)Christian Stab, Tristan Miller, Benjamin Schiller, et al.2018 · 229 citations
  6. Strong Baselines for Neural Semi-Supervised Learning under Domain ShiftAnnual Meeting of the Association for Computational Linguistics (ACL)Sebastian Ruder, Barbara Plank2018 · 229 citations
  7. Progress measures for grokking via mechanistic interpretabilityarXiv:2301.05217Neel Nanda, Lawrence Chan, Tom Lieberum, et al.2023 · 228 citations
  8. Automatically Labeled Data Generation for Large Scale Event ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Yubo Chen, Shulin Liu, Xiang Zhang, et al.2017 · 228 citations
  9. 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
  10. Scalable agent alignment via reward modeling: a research directionarXiv:1811.07871Jan Leike, David Krueger, Tom Everitt, et al.2018 · 227 citations
  11. Towards String-To-Tree Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Roee Aharoni, Yoav Goldberg2017 · 226 citations
  12. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem SolvingarXiv:2309.17452Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 225 citations
  13. 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
  14. 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
  15. MITRE at SemEval-2016 Task 6: Transfer Learning for Stance DetectionInternational Workshop on Semantic Evaluation (SemEval)Guido Zarrella, Amy Marsh2016 · 223 citations
  16. Unsupervised Deep Embedding for Clustering AnalysisInternational Conference on Machine Learning (ICML)Junyuan Xie, Ross Girshick, Ali Farhadi2016 · 222 citations
  17. Structured Pruning Learns Compact and Accurate ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengzhou Xia, Zexuan Zhong, Danqi Chen2022 · 221 citations
  18. Few-Shot Charge Prediction with Discriminative Legal AttributesInternational Conference on Computational Linguistics (COLING)Zikun Hu, Xiang Li, Cunchao Tu, et al.2018 · 221 citations
  19. Distilling Reasoning Capabilities into Smaller Language ModelsFindings of the Association for Computational LinguisticsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 219 citations
  20. 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
  21. Probing the Need for Visual Context in Multimodal Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ozan Caglayan, Pranava Madhyastha, Lucia Specia, et al.2019 · 217 citations
  22. 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
  23. 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
  24. Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence RerankingAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Tsung-Hsien Wen, Milica Gašić, Dongho Kim, et al.2015 · 216 citations
  25. 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
  26. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
  27. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 213 citations
  28. TernaryBERT: Distillation-aware Ultra-low Bit BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Zhang, Lu Hou, Yichun Yin, et al.2020 · 213 citations
  29. Compositional Attention Networks for Machine ReasoningarXiv:1803.03067Drew A. Hudson, Christopher D. Manning2018 · 213 citations
  30. Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine TranslationarXiv:2401.08417Haoran Xu, Amr Sharaf, Yunmo Chen, et al.2024 · 212 citations
  31. 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
  32. An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nicholas Meade, Elinor Poole-Dayan, Siva Reddy2022 · 211 citations
  33. Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingarXiv:2202.04538Yu Meng, Jiaxin Huang, Yu Zhang, et al.2022 · 210 citations
  34. EAGLE: Speculative Sampling Requires Rethinking Feature UncertaintyarXiv:2401.15077Yuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 208 citations
  35. On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nouha Dziri, Sivan Milton, Mo Yu, et al.2022 · 208 citations
  36. Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 208 citations
  37. Entities as Experts: Sparse Memory Access with Entity SupervisionConference on Empirical Methods in Natural Language Processing (EMNLP)Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, et al.2020 · 208 citations
  38. Improving Named Entity Recognition by External Context Retrieving and Cooperative LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Wang, Yong Jiang, Nguyen Bach, et al.2021 · 206 citations
  39. Efficient softmax approximation for GPUsarXiv:1609.04309Edouard Grave, Armand Joulin, Moustapha Cisse, et al.2016 · 205 citations
  40. DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank AdaptationConference of the European Chapter of the Association for Computational Linguistics (EACL)Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, et al.2023 · 203 citations
  41. Mesh-TensorFlow: Deep Learning for SupercomputersarXiv:1811.02084Noam Shazeer, Youlong Cheng, Niki Parmar, et al.2018 · 203 citations
  42. Model Tells You What to Discard: Adaptive KV Cache Compression for LLMsarXiv:2310.01801Suyu Ge, Yunan Zhang, Liyuan Liu, et al.2023 · 202 citations
  43. Structured Pruning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziheng Wang, Jeremy Wohlwend, Tao Lei2020 · 202 citations
  44. Compound Probabilistic Context-Free Grammars for Grammar InductionAnnual Meeting of the Association for Computational Linguistics (ACL)Yoon Kim, Chris Dyer, Alexander Rush2019 · 201 citations
  45. IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian LanguagesarXiv:2305.16307Jay Gala, Pranjal A. Chitale, Raghavan AK, et al.2023 · 200 citations
  46. A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and ValidationArtificial Intelligence ReviewXiaowei Huang, Wenjie Ruan, Wei Huang, et al.2023 · 199 citations
  47. Block Pruning For Faster TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)François Lagunas, Ella Charlaix, Victor Sanh, et al.2021 · 199 citations
  48. Position Information in Transformers: An OverviewComputational LinguisticsPhilipp Dufter, Martin Schmitt, Hinrich Schütze2022 · 198 citations
  49. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
  50. A Convolutional Attention Network for Extreme Summarization of Source CodearXiv:1602.03001Miltiadis Allamanis, Hao Peng, Charles Sutton2016 · 198 citations
  51. Design Challenges and Misconceptions in Neural Sequence LabelingInternational Conference on Computational Linguistics (COLING)Jie Yang, Shuailong Liang, Yue Zhang2018 · 197 citations
  52. Efficient and Robust Question Answering from Minimal Context over DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Victor Zhong, Richard Socher, et al.2018 · 197 citations
  53. The Right Tool for the Job: Matching Model and Instance ComplexitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.2020 · 196 citations
  54. Representation of Linguistic Form and Function in Recurrent Neural NetworksComputational LinguisticsÁkos Kádár, Grzegorz Chrupała, Afra Alishahi2017 · 192 citations
  55. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
  56. Towards Universal Dialogue State TrackingConference on Empirical Methods in Natural Language Processing (EMNLP)Liliang Ren, Kaige Xie, Lu Chen, et al.2018 · 191 citations
  57. Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic OraclesConference on Empirical Methods in Natural Language Processing (EMNLP)James Cross, Liang Huang2016 · 191 citations
  58. A Dataset for Multi-Target Stance DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu2017 · 190 citations
  59. Grounded Language Learning in a Simulated 3D WorldarXiv:1706.06551Karl Moritz Hermann, Felix Hill, Simon Green, et al.2017 · 190 citations
  60. Transformers without Tears: Improving the Normalization of Self-AttentionarXiv:1910.05895Toan Q. Nguyen, Julian Salazar2019 · 189 citations
  61. AudioCaps: Generating Captions for Audios in The WildConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, et al.2019 · 187 citations
  62. An End-to-end Approach for Handling Unknown Slot Values in Dialogue State TrackingAnnual Meeting of the Association for Computational Linguistics (ACL)Puyang Xu, Qi Hu2018 · 187 citations
  63. Deja Vu: Contextual Sparsity for Efficient LLMs at Inference TimeInternational Conference on Machine Learning (ICML)Zichang Liu, Jue Wang, Tri Dao, et al.2023 · 185 citations
  64. Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, et al.2019 · 185 citations
  65. Re2G: Retrieve, Rerank, GenerateConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al.2022 · 184 citations
  66. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
  67. The False Promise of Imitating Proprietary LLMsarXiv:2305.15717Arnav Gudibande, Eric Wallace, Charlie Snell, et al.2023 · 182 citations
  68. Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm DetectionFindings of the Association for Computational LinguisticsHongliang Pan, Zheng Lin, Peng Fu, et al.2020 · 182 citations
  69. MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al.2022 · 181 citations
  70. 8-bit Optimizers via Block-wise QuantizationarXiv:2110.02861Tim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 181 citations
  71. Representation Degeneration Problem in Training Natural Language Generation ModelsarXiv:1907.12009Jun Gao, Di He, Xu Tan, et al.2019 · 181 citations
  72. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training WorkloadsarXiv:1901.05758Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, et al.2019 · 179 citations
  73. Rethinking Cooperative Rationalization: Introspective Extraction and Complement ControlConference on Empirical Methods in Natural Language Processing (EMNLP)Mo Yu, Shiyu Chang, Yang Zhang, et al.2019 · 179 citations
  74. Improving Neural Language Models with a Continuous CachearXiv:1612.04426Edouard Grave, Armand Joulin, Nicolas Usunier2016 · 179 citations
  75. Non-Autoregressive Machine Translation with Latent AlignmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Chitwan Saharia, William Chan, Saurabh Saxena, et al.2020 · 178 citations
  76. Integrating Transformer and Paraphrase Rules for Sentence SimplificationConference on Empirical Methods in Natural Language Processing (EMNLP)Sanqiang Zhao, Rui Meng, Daqing He, et al.2018 · 178 citations
  77. Grokking: Generalization Beyond Overfitting on Small Algorithmic DatasetsarXiv:2201.02177Alethea Power, Yuri Burda, Harri Edwards, et al.2022 · 177 citations
  78. BASE Layers: Simplifying Training of Large, Sparse ModelsarXiv:2103.16716Mike Lewis, Shruti Bhosale, Tim Dettmers, et al.2021 · 177 citations
  79. Abstractive Summarization of Reddit Posts with Multi-level Memory NetworksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Byeongchang Kim, Hyunwoo Kim, Gunhee Kim2019 · 177 citations
  80. Adaptive Input Representations for Neural Language ModelingarXiv:1809.10853Alexei Baevski, Michael Auli2018 · 177 citations
  81. Word Embeddings and Convolutional Neural Network for Arabic Sentiment ClassificationInternational Conference on Computational Linguistics (COLING)Abdelghani Dahou, Shengwu Xiong, Junwei Zhou, et al.2016 · 177 citations
  82. Order-Embeddings of Images and LanguagearXiv:1511.06361Ivan Vendrov, Ryan Kiros, Sanja Fidler, et al.2015 · 177 citations
  83. Lifting the Curse of Multilinguality by Pre-training Modular TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.2022 · 174 citations
  84. AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-TuningarXiv:2303.10512Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al.2023 · 173 citations
  85. Stance Detection in COVID-19 TweetsAnnual Meeting of the Association for Computational Linguistics (ACL)Kyle Glandt, Sarthak Khanal, Yingjie Li, et al.2021 · 173 citations
  86. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
  87. Seamless: Multilingual Expressive and Streaming Speech TranslationarXiv:2312.05187Seamless Communication, Loic Barrault, Yu-An Chung, et al.2023 · 172 citations
  88. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionarXiv:2312.09390Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 172 citations
  89. Self-training Improves Pre-training for Natural Language UnderstandingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jingfei Du, Edouard Grave, Beliz Gunel, et al.2021 · 172 citations
  90. Soft Contextual Data Augmentation for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Gao, Jinhua Zhu, Lijun Wu, et al.2019 · 172 citations
  91. Data Augmentation via Dependency Tree Morphing for Low-Resource LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Gözde Gül Şahin, Mark Steedman2018 · 171 citations
  92. Capabilities of Gemini Models in MedicinearXiv:2404.18416Khaled Saab, Tao Tu, Wei-Hung Weng, et al.2024 · 170 citations
  93. Tutel: Adaptive Mixture-of-Experts at ScaleMLSys 2023Changho Hwang, Wei Cui, Yifan Xiong, et al.2022 · 168 citations
  94. AMR Parsing via Graph-Sequence Iterative InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Deng Cai, Wai Lam2020 · 168 citations
  95. Few-Shot Text Generation with Natural Language InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Timo Schick, Hinrich Schütze2021 · 167 citations
  96. Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data AugmentationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, et al.2019 · 167 citations
  97. UniPELT: A Unified Framework for Parameter-Efficient Language Model TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuning Mao, Lambert Mathias, Rui Hou, et al.2022 · 165 citations
  98. Stronger Baselines for Trustable Results in Neural Machine TranslationWorkshop on Neural Machine TranslationMichael Denkowski, Graham Neubig2017 · 165 citations
  99. Leveraging FrameNet to Improve Automatic Event DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shulin Liu, Yubo Chen, Shizhu He, et al.2016 · 164 citations
  100. Neural Language Correction with Character-Based AttentionarXiv:1603.09727Ziang Xie, Anand Avati, Naveen Arivazhagan, et al.2016 · 164 citations

1 … 5 6 7 … 10 … 13

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/geoffrey-e-hinton/cited-by/page/6/