Kensen Shi
Google (United States)(US)
Publications by Year
Research Areas
Software Engineering Research, Software Testing and Debugging Techniques, Machine Learning in Materials Science, Natural Language Processing Techniques, Topic Modeling
Most-Cited Works
- → PaLM: Scaling Language Modeling with Pathways(2022)2,124 cited
- → Learning and Evaluating Contextual Embedding of Source Code(2019)156 cited
- Pre-trained Contextual Embedding of Source Code(2019)
- → Spark PRM: Using RRTs within PRMs to efficiently explore narrow passages(2014)34 cited
- → Lazy Toggle PRM: A single-query approach to motion planning(2013)27 cited
- → Natural Language to Code Generation in Interactive Data Science Notebooks(2023)17 cited
- Incremental Sampling Without Replacement for Sequence Models(2020)
- → CrossBeam: Learning to Search in Bottom-Up Program Synthesis(2022)6 cited
- → NExT: Teaching Large Language Models to Reason about Code Execution(2024)6 cited
- → TF-Coder: Program Synthesis for Tensor Manipulations(2022)5 cited