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Who cites «Adam: A Method for Stochastic Optimization»

10,909 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1123 with a page here, the most cited first · page 7 of 12 · 601–700 · ← back to «Adam: A Method for Stochastic Optimization»

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  1. Chain of Hindsight Aligns Language Models with FeedbackarXiv:2302.02676Hao Liu, Carmelo Sferrazza, Pieter Abbeel2023 · 126 citations
  2. Transformer-Patcher: One Mistake worth One NeuronarXiv:2301.09785Zeyu Huang, Yikang Shen, Xiaofeng Zhang, et al.2023 · 123 citations
  3. BabyAI: A Platform to Study the Sample Efficiency of Grounded Language LearningarXiv:1810.08272Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, et al.2018 · 123 citations
  4. Making Neural QA as Simple as Possible but not SimplerarXiv:1703.04816Dirk Weissenborn, Georg Wiese, Laura Seiffe2017 · 122 citations
  5. Collaborative Dialogue in MinecraftAnnual Meeting of the Association for Computational Linguistics (ACL)Anjali Narayan-Chen, Prashant Jayannavar, Julia Hockenmaier2019 · 121 citations
  6. Compositional Exemplars for In-context LearningarXiv:2302.05698Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, et al.2023 · 120 citations
  7. A Constructive Prediction of the Generalization Error Across ScalesarXiv:1909.12673Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, et al.2019 · 120 citations
  8. Resurrecting Recurrent Neural Networks for Long SequencesarXiv:2303.06349Antonio Orvieto, Samuel L Smith, Albert Gu, et al.2023 · 118 citations
  9. Scaling Laws for TransferarXiv:2102.01293Danny Hernandez, Jared Kaplan, Tom Henighan, et al.2021 · 118 citations
  10. Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language ModelarXiv:1912.09637Wenhan Xiong, Jingfei Du, William Yang Wang, et al.2019 · 117 citations
  11. RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective AugmentationarXiv:2310.04408Fangyuan Xu, Weijia Shi, Eunsol Choi2023 · 115 citations
  12. DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsarXiv:2410.10819Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.2024 · 114 citations
  13. Efficient Large Scale Language Modeling with Mixtures of ExpertsarXiv:2112.10684Mikel Artetxe, Shruti Bhosale, Naman Goyal, et al.2021 · 113 citations
  14. DistiLLM: Towards Streamlined Distillation for Large Language ModelsarXiv:2402.03898Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 112 citations
  15. Neural Networks and the Chomsky HierarchyarXiv:2207.02098Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 112 citations
  16. Neural Models of FactualityRachel Rudinger, Aaron Steven White, Benjamin Van Durme2018 · 112 citations
  17. Transformer Language Models without Positional Encodings Still Learn Positional InformationarXiv:2203.16634Adi Haviv, Ori Ram, Ofir Press, et al.2022 · 111 citations
  18. Linear Transformers Are Secretly Fast Weight ProgrammersarXiv:2102.11174Imanol Schlag, Kazuki Irie, Jurgen Schmidhuber2021 · 111 citations
  19. Reframing Human-AI Collaboration for Generating Free-Text ExplanationsarXiv:2112.08674Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, et al.2021 · 111 citations
  20. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
  21. RouteLLM: Learning to Route LLMs with Preference DataarXiv:2406.18665Isaac Ong, Amjad Almahairi, Vincent Wu, et al.2024 · 109 citations
  22. DAPPLE: A Pipelined Data Parallel Approach for Training Large ModelsarXiv:2007.01045Shiqing Fan, Yi Rong, Chen Meng, et al.2020 · 107 citations
  23. Uncertain Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.2020 · 107 citations
  24. Studying Large Language Model Generalization with Influence FunctionsarXiv:2308.03296Roger Grosse, Juhan Bae, Cem Anil, et al.2023 · 105 citations
  25. An Annotated Dataset of Coreference in English LiteratureDavid Bamman, Olivia Lewke, Anya Mansoor2020 · 103 citations
  26. Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionZhanming Jie, Jierui Li, Wei Lu2022 · 102 citations
  27. Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex WordsValentin, Hofmann2021 · 102 citations
  28. Simulating Action Dynamics with Neural Process NetworksarXiv:1711.05313Antoine Bosselut, Omer Levy, Ari Holtzman, et al.2017 · 102 citations
  29. AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the WebarXiv:2305.13117Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos2023 · 101 citations
  30. LoRA+: Efficient Low Rank Adaptation of Large ModelsarXiv:2402.12354Soufiane Hayou, Nikhil Ghosh, Bin Yu2024 · 97 citations
  31. Dataset DistillationarXiv:1811.10959Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, et al.2018 · 97 citations
  32. Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for ArabicNasser Zalmout, Nizar Habash2017 · 97 citations
  33. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
  34. Language Agents as Optimizable GraphsarXiv:2402.16823Mingchen Zhuge, Wenyi Wang, Louis Kirsch, et al.2024 · 91 citations
  35. Better & Faster Large Language Models via Multi-token PredictionarXiv:2404.19737Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Roziere, et al.2024 · 90 citations
  36. Automatically Auditing Large Language Models via Discrete OptimizationarXiv:2303.04381Erik Jones, Anca Dragan, Aditi Raghunathan, et al.2023 · 89 citations
  37. LSTM Networks Can Perform Dynamic CountingProceedings of the Workshop on Deep Learning and Formal Languages: Building BridgesMirac Suzgun, Yonatan Belinkov, Stuart Shieber, et al.2019 · 89 citations
  38. End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question AnsweringarXiv:2106.05346Devendra Singh Sachan, Siva Reddy, William Hamilton, et al.2021 · 88 citations
  39. A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role LabelingDiego Marcheggiani, Anton Frolov, Ivan Titov2017 · 87 citations
  40. AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelarXiv:2208.01448Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, et al.2022 · 84 citations
  41. Zeus: Understanding and Optimizing GPU Energy Consumption of DNN TrainingarXiv:2208.06102Jie You, Jae-Won Chung, Mosharaf Chowdhury2022 · 82 citations

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