3 papers
cs.LG2026
Generative Augmented Inference of LLM-generated Data for Market Research: Theory and Empirical Evidence
Cheng Lu, Mengxin Wang, Dennis J. Zhang +1
Marketing research often relies on parameters estimated from costly human-generated data, such as conjoint survey responses, purchase decisions, and field experiment outcomes. Rece…
cs.AI2026
Large Language Models for Market Research: A Data-augmentation Approach
Mengxin Wang, Dennis J. Zhang, Heng Zhang
Large Language Models (LLMs) have transformed artificial intelligence by excelling in complex natural language processing tasks. Their ability to generate human-like text has opene…
stat.ML2026
Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning
Korel Gundem, Juncheng Dong, Dennis Zhang +2
In-Context Learning (ICL) allows Large Language Models (LLMs) to adapt to new tasks with just a few examples, but their predictions often suffer from systematic biases, leading to…