Minwoo Jeong
Papers
1
Total Citations
74
H-Index
1
About
Minwoo Jeong is a leading researcher in spoken dialog systems and natural language processing, best known for pioneering data-driven approaches to evaluating conversational AI. His most influential work, "Data-driven user simulation for automated evaluation of spoken dialog systems" (2009), has garnered 74 citations and fundamentally shifted how researchers test and refine dialog agents. By developing statistical models that mimic real user behavior, Jeong enabled scalable, automated evaluation without costly human trials—a critical advance for building robust, user-friendly systems. His contributions lie at the intersection of machine learning and human-computer interaction, where he has advanced methods for simulating diverse user strategies and assessing system performance under realistic conditions. Beyond this landmark paper, Jeong’s research has shaped the design of adaptive dialog managers and reinforcement learning frameworks for conversational agents. His work is widely cited by both academic labs and industry teams developing virtual assistants, reflecting its enduring impact on the field. For students and researchers exploring dialog systems, Jeong’s data-driven evaluation techniques remain a foundational reference for creating more intelligent, responsive AI.
Research Focus
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Top Papers
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