4 papers
Adaptive Simulation Experiment for LLM Policy Optimization
Mingjie Hu, Siyang Gao, Jian-qiang Hu +1
Large language models (LLMs) have significant potential to improve operational efficiency in operations management. Deploying these models requires specifying a policy that governs…
Unified Precision-Guaranteed Stopping Rules for Contextual Learning
Mingrui Ding, Qiuhong Zhao, Siyang Gao +1
Contextual learning seeks to learn a decision policy that maps an individual's characteristics to an action through data collection. In operations management, such data may come fr…
Designing Service Systems from Textual Evidence
Ruicheng Ao, Hongyu Chen, Siyang Gao +2
Designing service systems requires selecting among alternative configurations -- choosing the best chatbot variant, the optimal routing policy, or the most effective quality contro…
Optimal Simulation Budget Allocation Under Unknown Sampling Variance
Jianzhong Du, Ilya O. Ryzhov, Siyang Gao
The ranking and selection problem is a popular framework in the simulation literature for studying optimal information collection. We study a version of this problem in which the s…