Vincent Zhao
Google (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Bayesian Methods and Mixture Models, Parallel Computing and Optimization Techniques
Most-Cited Works
- → Scaling Instruction-Finetuned Language Models(2022)1,181 cited
- → LaMDA: Language Models for Dialog Applications(2022)705 cited
- → Large Dual Encoders Are Generalizable Retrievers(2022)140 cited
- → MGPUSim(2019)97 cited
- → RARR: Researching and Revising What Language Models Say, Using Language Models(2023)84 cited
- → Mixture-of-Experts with Expert Choice Routing(2022)58 cited
- → Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models(2023)20 cited
- → Dialog Inpainting: Turning Documents into Dialogs(2022)17 cited
- → MGSim + MGMark: A Framework for Multi-GPU System Research(2018)4 cited
- → Stagewise Learning for Sparse Clustering of Discretely-Valued Data(2015)