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
(How) Can LLMs Enhance Privacy Research?
Xiang Cheng, Wen Wang
Major Revision at Management Science
Incentive Issues in Developing Factual LLMs
Xiang Cheng, Manmohan Aseri
2025 BizAI; 2025 AI at Wharton; UMD Faculty-Student Research Award
Under Review at Information Systems Research
To Err Is Human; To Annotate, SILICON? Reducing Measurement Error in LLM Annotation
Xiang Cheng, Raveesh Mayya, João Sedoc
2024 WITS; 2025 BizAI; 2025 SCECR Paper
LLMs and Media Market
Xiang Cheng, Manmohan Aseri, Siva Viswanathan
Disrupting Collusion with Consumer AI
Xiang Cheng, Manmohan Aseri
LLMs for Explainable Business Decision-Making: A Reinforcement Learning Fine-Tuning Approach
Xiang Cheng, Wen Wang, Anindya Ghose
AI‐Assisted Group Decision Making
Xiang Cheng, Eaman Jahani
Support or Setback? Unpacking the Impact of the Small Business Badge
Joint work with Raveesh Mayya, Lanfei Shi, Shun Ye
2024 WISE (Bangkok, Thailand)