3 papers
cs.CL2026
Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent Paradigms
Xinlin Wang, Mats Brorsson
Despite the impressive capabilities of large language models, their substantial computational costs, latency, and privacy risks hinder their widespread deployment in real-world app…
cs.CE2025
Which Company Adjustment Matter? Insights from Uplift Modeling on Financial Health
Xinlin Wang, Mats Brorsson
Uplift modeling has achieved significant success in various fields, particularly in online marketing. It is a method that primarily utilizes machine learning and deep learning to e…
cs.CE2024
Datasets for Advanced Bankruptcy Prediction: A survey and Taxonomy
Xinlin Wang, Zsófia Kräussl, Mats Brorsson
Bankruptcy prediction is an important research area that heavily relies on data science. It aims to help investors, managers, and regulators better understand the operational statu…