---
title: "Noam Shazeer — all works — Elamur Research"
description: "All 30 works of Noam Shazeer in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/noam-shazeer/works/"
---
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# Noam Shazeer — all works

30 works · [← Noam Shazeer](https://md.research.elamur.ai/free/en/authors/noam-shazeer/)

1. [**Attention Is All You Need arXiv:1706.03762**Ashish Vaswani, Noam Shazeer, Niki Parmar, et al.*2017 · 17,458 citations*](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/)
2. [**Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer arXiv:1910.10683**Colin Raffel, Noam Shazeer, Adam Roberts, et al.*2019 · 11,325 citations*](https://md.research.elamur.ai/free/en/papers/raffel-2019-exploring-limits-transfer-learning-unified/)
3. **[Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks ↗](https://arxiv.org/abs/1506.03099) arXiv:1506.03099 · no summary yet**Samy Bengio et al.*2015 · 1,884 citations*
4. [**LaMDA: Language Models for Dialog Applications arXiv:2201.08239**Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.*2022 · 1,344 citations*](https://md.research.elamur.ai/free/en/papers/thoppilan-2022-lamda-language-models-dialog-applications/)
5. **[Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity ↗](https://arxiv.org/abs/2101.03961) arXiv:2101.03961 · no summary yet**William Fedus, Barret Zoph, Noam Shazeer*2021 · 1,271 citations*
6. **[Gemma 3 Technical Report ↗](https://arxiv.org/abs/2503.19786) arXiv:2503.19786 · no summary yet**Gemma Team et al.*2025 · 1,147 citations*
7. **[Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer ↗](https://arxiv.org/abs/1701.06538) arXiv:1701.06538 · no summary yet**Noam Shazeer et al.*2017 · 1,111 citations*
8. **[How Much Knowledge Can You Pack Into the Parameters of a Language Model? ↗](https://aclanthology.org/2020.emnlp-main.437/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Adam Roberts, Colin Raffel, Noam Shazeer*2020 · 1,100 citations*
9. **[Exploring the Limits of Language Modeling ↗](https://arxiv.org/abs/1602.02410) arXiv:1602.02410 · no summary yet**Rafal Jozefowicz et al.*2016 · 1,091 citations*
10. **[GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding ↗](https://arxiv.org/abs/2006.16668) arXiv:2006.16668 · no summary yet**Dmitry Lepikhin et al.*2020 · 894 citations*
11. **[The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chen-2018-best-both-worlds-combining-recent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mia Xu Chen, Orhan Firat, Ankur Bapna, et al.*2018 · 559 citations*
12. **[Image Transformer ↗](https://arxiv.org/abs/1802.05751) arXiv (Cornell University) · no summary yet**Niki Parmar et al.*2018 · 342 citations*
13. [**Generating Wikipedia by Summarizing Long Sequences arXiv:1801.10198**Peter J. Liu, Mohammad Saleh, Etienne Pot, et al.*2018 · 334 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-generating-wikipedia-summarizing-long-sequences/)
14. **[Music Transformer: Generating Music with Long-Term Structure ↗](https://openalex.org/W2919624000) International Conference on Learning Representations · no summary yet**Cheng-Zhi Anna Huang et al.*2019 · 314 citations*
15. **[One Model To Learn Them All ↗](https://arxiv.org/abs/1706.05137) arXiv (Cornell University) · no summary yet**Łukasz Kaiser et al.*2017 · 277 citations*
16. **[Corpora Generation for Grammatical Error Correction ↗](https://aclanthology.org/N19-1333/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Jared Lichtarge et al.*2019 · 213 citations*
17. **[Fast Decoding in Sequence Models using Discrete Latent Variables ↗](https://arxiv.org/abs/1803.03382) arXiv (Cornell University) · no summary yet**Łukasz Kaiser et al.*2018 · 213 citations*
18. **[ST-MoE: Designing Stable and Transferable Sparse Expert Models ↗](https://arxiv.org/abs/2202.08906) arXiv:2202.08906 · no summary yet**Barret Zoph et al.*2022 · 205 citations*
19. [**Mesh-TensorFlow: Deep Learning for Supercomputers arXiv:1811.02084**Noam Shazeer, Youlong Cheng, Niki Parmar, et al.*2018 · 203 citations*](https://md.research.elamur.ai/free/en/papers/shazeer-2018-mesh-tensorflow-deep-learning-supercomputers/)
20. **[Tensor2Tensor for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/vaswani-2018-tensor2tensor-neural-machine-translation/) [Conference of the Association for Machine Translation in the Americas (AMTA)](https://md.research.elamur.ai/free/en/venues/amta/)**Ashish Vaswani, Samy Bengio, Eugene Brevdo, et al.*2018 · 191 citations*
21. **[Blockwise Parallel Decoding for Deep Autoregressive Models ↗](https://arxiv.org/abs/1811.03115) arXiv (Cornell University) · no summary yet**Mitchell Stern, Noam Shazeer, Jakob Uszkoreit*2018 · 143 citations*
22. **[Scaling Up Models and Data with t5x and seqio ↗](https://arxiv.org/abs/2203.17189) arXiv:2203.17189 · no summary yet**Adam Roberts et al.*2022 · 130 citations*
23. **[Do Transformer Modifications Transfer Across Implementations and Applications? ↗](https://aclanthology.org/2021.emnlp-main.465/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Sharan Narang et al.*2021 · 123 citations*
24. **[GSPMD: General and Scalable Parallelization for ML Computation Graphs ↗](https://arxiv.org/abs/2105.04663) arXiv (Cornell University) · no summary yet**Yuanzhong Xu et al.*2021 · 119 citations*
25. **[Music Transformer ↗](https://arxiv.org/abs/1809.04281) arXiv (Cornell University) · no summary yet**Cheng-Zhi Anna Huang et al.*2018 · 117 citations*
26. **[Searching for Efficient Transformers for Language Modeling ↗](https://openalex.org/W3213305054) neural information processing systems · no summary yet**David R. So et al.*2021 · 51 citations*
27. **[Primer: Searching for Efficient Transformers for Language Modeling ↗](https://arxiv.org/abs/2109.08668) arXiv (Cornell University) · no summary yet**David R. So et al.*2021 · 39 citations*
28. **[High Resolution Medical Image Analysis with Spatial Partitioning ↗](https://arxiv.org/abs/1909.03108) arXiv:1909.03108 · no summary yet**Le Hou et al.*2019 · 33 citations*
29. **[Weakly Supervised Grammatical Error Correction using Iterative Decoding ↗](https://arxiv.org/abs/1811.01710) arXiv (Cornell University) · no summary yet**Jared Lichtarge et al.*2018 · 30 citations*
30. **[Large Scale Multi-Domain Multi-Task Learning with MultiModel ↗](https://openalex.org/W2785866442) no summary yet**Łukasz Kaiser et al.*2018*