Market Games for Generative Models: Equilibria, Welfare, and Strategic Entry
Xiukun Wei · Min Shi · Xueru Zhang
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Xiukun Wei · Min Shi · Xueru Zhang
Xuwei Tan · Yao Ma · Xueru Zhang
Detecting fraud in financial transactions typically relies on tabular models that demand heavy feature engineering to handle high-dimensional data and offer limited interpretability, making it difficult for humans to understand predictions. Large Language Models (LLMs), in contrast, can produce h...
Yaxuan Wang · Zhongteng Cai · Yujia Bao · Xueru Zhang · Yang Liu
The rapid advancement of large language models (LLMs) has led to growing interest in using synthetic data to train future models. However, this creates a self-consuming retraining loop, where models are trained on their own outputs and may cause performance drops and induce emerging biases. In re...