2 papers
cs.AI2026
Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys
Zikun Ye, Hema Yoganarasimhan
Large Language Models can generate synthetic survey responses at low cost, but their accuracy varies unpredictably across questions. We study the design problem of allocating a fix…
cs.LG2026
Allocating Human Oversight in AI-Enabled Analytics
Zikun Ye, Jiameng Lyu, Rui Tao
Organizations increasingly deploy AI as a low-cost prediction layer in customer-facing decision processes, including demand sensing, service-quality monitoring, product testing, an…