Macherey, Wolfgang

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Wu, Y., Schuster, M., Chen, Z., Le, Q. V., Norouzi, M., Macherey, W., Krikun, M., Cao, Y., Gao, Q., Macherey, K., et al. (2016) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 5,319

Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges

Arivazhagan, N., Bapna, A., Firat, O., Lepikhin, D., Johnson, M., Krikun, M., Chen, M. X., Cao, Y., Foster, G., Cherry, C., et al. (2019) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 279

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

Freitag, M., Foster, G., Grangier, D., Ratnakar, V., Tan, Q., & Macherey, W. (2021) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTranslation Studies and Practices

Cited by 271

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Reinforced Self-Training (ReST) for Language Modeling

Gulcehre, C., Paine, T. L., Srinivasan, S., Konyushkova, K., Weerts, L., Sharma, A., Siddhant, A., Ahern, A., Wang, M., Gu, C., et al. (2023) · arXiv

Natural Language Processing TechniquesReinforcement Learning in Robotics

Cited by 20