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About Me
About Me
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.
Research Interests
Research Interests
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
Education
Education
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
Research
Research
Working Paper
Working Paper
(How) Can LLMs Enhance Privacy Research?
Xiang Cheng, Wen Wang
Major Revision at Management Science
2025 INFORMS Annual Meeting; 2025 INFORMS Workshop on Data Science; 2025 ICIS
Incentive Issues in Developing Factual LLMs
Xiang Cheng, Manmohan Aseri
Under Review at Information Systems Research
2025 BizAI; 2025 AI at Wharton [Presentation]; UMD Faculty-Student Research Award
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; 2025 NYU-TAU Workshop; 2025 CIST [Paper]
Breaking 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
2025 CIST; 2025 INFORMS Workshop on Data Science
Work-in-Progress
Work-in-Progress
LLMs and Media Market
Xiang Cheng, Manmohan Aseri, Siva Viswanathan
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)
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