Moran and Yao to study interpretability for neural language models of source code
Kevin Moran, Assistant Professor, Computer Science, and Ziyu Yao, Assistant Professor, Computer Science, are set to receive funding from the National Science Foundation for: "Collaborative Research: SHF: Medium: Toward Understandability and Interpretability for Neural Language Models of Source Code."
Moran and Yao will develop a framework and methodology that enables researchers who build AI-powered developer tools and software engineers who use these tools to interpret why the underlying models make the predictions they do.
Their objective is to allow researchers to obtain detailed insights into why a model may not ...












