Łukasz Kaiser

Google (United States) — United States

Computer Science · Physical Sciences

31h-index102.1kcitations104works1323.82yr avg
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Research Topics

Topic Modeling(29), Logic, Reasoning, and Knowledge(26), Natural Language Processing Techniques(24), Multimodal Machine Learning Applications(21), Logic, programming, and type systems(20)

Publications102 total

Attention Is All You Need
2025· 6.5k citedOpen Access
Competitive Programming with Large Reasoning Models
arXiv (Cornell University)·2025· 5 citedOpen Access
tsGT: Stochastic Time Series Modeling With Transformer
arXiv (Cornell University)·2024Open Access
MizAR 60 for Mizar 50
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)·2023· 73.6k citedOpen Access
Q-Value Weighted Regression: Reinforcement Learning with Limited Data
2022 International Joint Conference on Neural Networks (IJCNN)·2022· 2 cited
Hierarchical Transformers Are More Efficient Language Models
Findings of the Association for Computational Linguistics: NAACL 2022·2022· 28 citedOpen Access
Sparse is Enough in Scaling Transformers
arXiv (Cornell University)·2021· 3 citedOpen Access
Hierarchical Transformers Are More Efficient Language Models
arXiv (Cornell University)·2021Open Access
Learning Games from Videos Guided by Descriptive Complexity
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 5 citedOpen Access
CUBBITT Translation Models (en-fr) (v1.0)
Lindat/Clarin Repository (Lindat Clarin)·2021Open Access
Evaluating Large Language Models Trained on Code
arXiv (Cornell University)·2021· 1.4k citedOpen Access
Q-Value Weighted Regression: Reinforcement Learning with Limited Data
arXiv (Cornell University)·2021Open Access
Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
2021· 5 citedOpen Access
Rethinking Attention with Performers
arXiv (Cornell University)·2020· 122 citedOpen Access
Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals
Nature Communications·2020· 291 citedOpen Access
Model Based Reinforcement Learning for Atari
International Conference on Learning Representations·2020· 85 cited
Reformer: The Efficient Transformer
arXiv (Cornell University)·2020· 323 citedOpen Access
Forecasting Deep Learning Dynamics with Applications to Hyperparameter Tuning
2019· 1 cited
Parallel Scheduled Sampling
arXiv (Cornell University)·2019· 12 citedOpen Access
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer
arXiv (Cornell University)·2019· 62 citedOpen Access
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Frequent Co-authors

Jakob Uszkoreit(9), Noam Shazeer(8), Ashish Vaswani(7), Niki Parmar(7), Ilya Sutskever(7), Oriol Vinyals(7), Samy Bengio(7), Aidan N. Gomez(6), Llion Jones(4), Ryan Sepassi(4), Dietmar Berwanger(4), Erich Grädel(4), Eugene Brevdo(3), Mike Schuster(3), Quoc V. Le(3), Stephan Gouws(3), Afroz Mohiuddin(3), George Tucker(3), Henryk Michalewski(3), Aurko Roy(3)