Zhenduo Wang

Zhenduo Wang is a postdoctoral researcher specializing in conversational AI and large language models at the Georgia Institute of Technology.

His academic background includes:

• Ph.D. in Computer Science, University of Utah (Advisors: Prof. Qingyao Ai, Prof. Vivek Srikumar)
• M.S. in Mathematics, University of Minnesota Duluth (Advisors: Prof. Ted Pedersen, Prof. Yang Li)
• B.S. in Mathematics, Dalian University of Technology, China (Advisor: Prof. Risheng Liu)

Wang's research centers on conversational search systems, investigating user response simulation, clarifying question generation, and risk modeling through natural language processing and machine learning techniques. His work bridges information retrieval with dialogue systems to improve interactive search experiences.

His publications from 2021-2024 demonstrate consistent focus on conversational search, with evolving methodologies from reinforcement learning (2021) to zero-shot techniques (2023) and in-depth user simulation studies (2024), primarily published in ACM Web Conference proceedings.

Scientific Awards:

• No awards listed in the provided information

There is no information regarding student advising or research grants in the available text.

He currently collaborates with Prof. Alan Ritter's research group at Georgia Tech, contributing to conversational AI advancements through active publication and open-source code development.