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Works of Google DeepMind

29 works · the most cited first · ← Google DeepMind

  1. Highly accurate protein structure prediction with AlphaFoldJohn Jumper, Richard Evans, Alexander Pritzel, et al.2021 · 43,470 citations
  2. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingAlex Wang, Amanpreet Singh, Julian Michael, et al.2018 · 7,141 citations
  3. Large Language Models Encode Clinical KnowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.2022 · 4,464 citations
  4. Teaching Machines to Read and ComprehendKarl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, et al.2015 · 3,806 citations
  5. Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsDanilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra2014 · 2,586 citations
  6. Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,215 citations
  7. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsAlex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,187 citations
  8. Competition-Level Code Generation with AlphaCodeYujia Li, David Choi, Junyoung Chung, et al.2022 · 1,543 citations
  9. The NarrativeQA Reading Comprehension ChallengeTomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al.2018 · 1,026 citations
  10. Universal and Transferable Adversarial Attacks on Aligned Language ModelsAndy Zou, Zifan Wang, Nicholas Carlini, et al.2023 · 951 citations
  11. Topic Modeling in Embedding SpacesAdji B. Dieng, Francisco J. R. Ruiz, David M. Blei2020 · 914 citations
  12. MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual TransferJonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.2020 · 831 citations
  13. Role-Play with Large Language ModelsMurray Shanahan, Kyle McDonell, Laria Reynolds2023 · 606 citations
  14. Towards Expert-Level Medical Question Answering with Large Language ModelsKaran Singhal, Tao Tu, Juraj Gottweis, et al.2023 · 503 citations
  15. MasakhaNER: Named Entity Recognition for African LanguagesDavid Ifeoluwa Adelani, Jade Abbott, Graham Neubig, et al.2021 · 429 citations
  16. Personality Traits in Large Language ModelsGreg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 251 citations
  17. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingBradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 241 citations
  18. Humanity's Last ExamLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 235 citations
  19. OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language ModelsAnas Awadalla, Irena Gao, Josh Gardner, et al.2023 · 209 citations
  20. Internet-augmented language models through few-shot prompting for open-domain question answeringAngeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, et al.2022 · 204 citations
  21. Measuring Attribution in Natural Language Generation ModelsHannah Rashkin, Vitaly Nikolaev, Matthew Lamm, et al.2023 · 198 citations
  22. UNKs Everywhere: Adapting Multilingual Language Models to New ScriptsJonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.2021 · 174 citations
  23. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingTianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 151 citations
  24. In-Context Learning Creates Task VectorsRoee Hendel, Mor Geva, Amir Globerson2023 · 142 citations
  25. Machine Learning for Ancient Languages: A SurveyThea Sommerschield, Yannis Assael, John Pavlopoulos, et al.2023 · 123 citations
  26. V-STaR: Training Verifiers for Self-Taught ReasonersArian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.2024 · 111 citations
  27. WikiCREM: A Large Unsupervised Corpus for Coreference ResolutionVid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, et al.2019 · 41 citations
  28. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 36 citations
  29. Ontology-Aware Token Embeddings for Prepositional Phrase AttachmentPradeep Dasigi, Waleed Ammar, Chris Dyer, et al.2017 · 35 citations

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