The 46th Frontier Forum for Digital Technology and Finance

Abstract：

We will discuss the forward-looking bias in large language models (LLMs) and explore potential solutions. In addition, we will cover how to use LLMs for research applications, including information retrieval, the bag-of-words approach, and AI talent identification. Please bring your laptop if you prefer.

Speaker Introduction：

Shun Cao is a tenured associate professor in the Department of Accounting at the Smith School of Business, University of Maryland. He previously held a joint tenured associate professorship in both the Department of Accounting and the Department of Finance at the Robinson College of Business, Georgia State University. Professor Cao's primary research areas include: corporate information disclosure and decision-making, and financial and accounting data analytics (primarily involving unstructured data processing and deep learning). His research has been published in top-tier accounting and finance journals such as the Journal of Financial Economics, Journal of Accounting Research, The Accounting Review, Contemporary Accounting Research, and IEEE Computer, among others. His work has been presented at research-intensive universities including Stanford University, Cornell University, the University of Virginia, the University of Minnesota, and Pennsylvania State University. He has also been invited to participate in seminars hosted by globally renowned companies such as Grant Thornton, Ant Financial, Baidu, and JD.com. Currently, Professor Cao serves as a guest editor for the big data special section of the top-tier journal Management Science and is a reviewer for leading journals including the Review of Financial Studies, Management Science, Contemporary Accounting Research, MIS Quarterly, and Accounting, Organizations and Society.