2 citations · 4 across the 4 of their papers we have counts for
4 papers
Evaluating LLMs in Finance Requires Explicit Bias Consideration
Yaxuan Kong, Hoyoung Lee, Yoontae Hwang +7
Large Language Models (LLMs) are increasingly integrated into financial workflows, but evaluation practice has not kept up. Finance-specific biases can inflate performance, contami…
Do Multimodal Large Language Models Understand Welding?
Grigorii Khvatskii, Yong Suk Lee, Corey Angst +3
This paper examines the performance of Multimodal LLMs (MLLMs) in skilled production work, with a focus on welding. Using a novel data set of real-world and online weld images, ann…
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization
Yoontae Hwang, Yaxuan Kong, Stefan Zohren +1
This paper addresses the critical disconnect between prediction and decision quality in portfolio optimization by integrating Large Language Models (LLMs) with decision-focused lea…
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset
Yoontae Hwang, Yongjae Lee
Tabular data poses unique challenges due to its heterogeneous nature, combining both continuous and categorical variables. Existing approaches often struggle to effectively capture…