Lev Proleev
Google (United Kingdom)(GB)
Publications by Year
Research Areas
Multiple Sclerosis Research Studies, Natural Language Processing Techniques, Traditional Chinese Medicine Studies, Digital Imaging for Blood Diseases, Topic Modeling
Most-Cited Works
- → Gemini: A Family of Highly Capable Multimodal Models(2023)790 cited
- → Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering(2023)7 cited
- → Disability prediction in multiple sclerosis using performance outcome measures and demographic data(2022)4 cited
- → Holistic Safety and Responsibility Evaluations of Advanced AI Models(2024)3 cited
- → Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis(2025)2 cited
- → Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression(2023)1 cited