Łukasz Kaiser
Google (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Logic, Reasoning, and Knowledge, Natural Language Processing Techniques, Logic, programming, and type systems, Formal Methods in Verification
Most-Cited Works
- → TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems(2016)9,726 cited
- → Attention Is All You Need(2025)6,509 cited
- → Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation(2016)5,642 cited
- → Evaluating Large Language Models Trained on Code(2021)1,403 cited
- → Model-Based Reinforcement Learning for Atari(2019)420 cited
- → Regularizing Neural Networks by Penalizing Confident Output\n Distributions(2017)403 cited
- → Grammar as a Foreign Language(2014)402 cited
- → Universal Transformers(2018)396 cited
- → Reformer: The Efficient Transformer(2020)323 cited