Hi! My name is Xiang Cheng; I usually go by Charlie. I am a Ph.D. student in Information Systems at Robert H. Smith School of Business, University of Maryland, College Park.
My research interests primarily focus on economic impacts and business applications of generative AI.
Methodologies: Causal Inference, Machine Learning, Large Language Models, Analytical Modeling, Experiment
Robert H. Smith School of Business, University of Maryland, College Park
Ph.D. in Information Systems 2024 - present
New York University
Visiting Student 2023 fall
School of Business, Renmin University
BBA, Financial Management 2020 - 2024
From Human Annotation to LLMs: SILICON Annotation Workflow for Management Research
Xiang Cheng, Raveesh Mayya, Joao Sedoc
2024 WITS (Bangkok, Thailand); 2025 BizAI (Dallas, TX); 2025 SCECR (Paphos, Cyprus) Paper
(How) Can LLMs Enhance Privacy Research?
Xiang Cheng, Wen Wang
Under Review
Incentive Issues in Developing LLM Fact Checkers
Xiang Cheng, Manmohan Aseri
2025 BizAI (Dallas, TX); 2025 AI at Wharton; UMD Faculty-Student Research Award
Support or Setback? Unpacking the Impact of the Small Business Badge
Joint work with Raveesh Mayya, Lanfei Shi, Shun Ye
2024 WISE (Bangkok, Thailand)
Balancing Exploration and Exploitation in LLMs: Design Choices for Creative Outputs
Xiang Cheng, Eaman Jahani
Data Sharing vs. Model Sharing
Joint work with Manmohan Aseri, Siva Viswanathan