ECE Special Seminar: “Bilevel Optimization for Agentic AI: From Theory to Retrieval-augmented Agentic Reinforcement Learning”
Presented by: Quan Xiao, PhD Candidate @ Cornell University Description: “Agentic AI systems combine large language models with system-level design choices such as post-training data selection, retrieval, tool use, and memory management in augmented inference. Training these systems involves multiple coupled objectives beyond task success, including safety, retrieval quality, and adaptation efficiency. Sequential tuning can cause […]
