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Join this Allen School Colloquium featuring Yangruibo "Robin" Ding from Columbia University as he presents "From Code Generation Towards Software Engineering: Advancing Code Intelligence w/ Language Models." In this 58-minute talk, Ding explores how large language models (LLMs) are transforming code writing while addressing their limitations in comprehensive software engineering tasks. Learn about his research contributions in enhancing LLMs with symbolic reasoning for program semantics and global reasoning for software dependencies. Discover the future possibilities of AI-driven software engineering and the path toward trustworthy full-stack automation. Ding, a Ph.D. candidate whose interdisciplinary research has earned multiple prestigious awards including an ACM SIGSOFT Distinguished Paper Award and an IEEE TSE Best Paper Runner-up, brings valuable insights at the intersection of Software Engineering and Machine Learning. The talk will be streamed live on the Paul G. Allen School's YouTube channel, with the link available one hour before the April 7, 2025 event.
