Pengcheng Yin
Google (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Software Engineering Research, Multimodal Machine Learning Applications, Prosthetics and Rehabilitation Robotics
Most-Cited Works
- → PaLM: Scaling Language Modeling with Pathways(2022)2,124 cited
- → A Syntactic Neural Model for General-Purpose Code Generation(2017)530 cited
- → TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data(2020)406 cited
- → DyNet: The Dynamic Neural Network Toolkit(2017)344 cited
- → UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models(2022)217 cited
- → TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation(2018)199 cited
- → Learning to mine aligned code and natural language pairs from stack overflow(2018)195 cited
- → StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing(2018)98 cited
- → Retrieval-Based Neural Code Generation(2018)90 cited