3 papers
cs.AI2026
Automated Design of Inventory Policy with Large Language Models: An Exploratory Study
Fenghua Yang, Preet Baxi, Yi Zhang +4
Firms making inventory decisions have access to operational data, optimization tools, and large language models (LLMs). Typically, data characterize the operating environment, opti…
cs.DS2026
Asymptotically Optimal Sequential Testing with Heterogeneous LLMs
Guokai Li, Alys Liang, Mo Liu +4
We study a Bayesian binary sequential hypothesis testing problem with multiple large language models (LLMs). Each LLM has per-query cost , random waiting time with mean…
stat.ME2026
Minimizing Type 2 Errors in an Experiment-Rich Regime via Optimal Resource Allocation
Fenghua Yang, Dae Woong Ham, Stefanus Jasin
Randomized experiments (often known as "A/B tests") are widely used to evaluate product and service innovations. We study how to allocate limited experimentation resources across M…