124 citations · 151 across the 10 of their papers we have counts for
10 papers
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models
Duanyu Feng, Yongfu Dai, Jimin Huang +6
In the financial industry, credit scoring is a fundamental element, shaping access to credit and determining the terms of loans for individuals and businesses alike. Traditional cr…
Training-Free Uncertainty Estimation for Embedding Models
Young-Jin Park, Hao Wang, Addison Kristanto Julistiono +2
Embedding models, often obtained via self-supervised learning, extract general-purpose representations from data. Quantifying the reliability of these representations is crucial, a…
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics
Wenge Liu, Yi Cheng, Hao Wang +6
With the rise of telemedicine, the task of developing Dialogue Systems for Medical Diagnosis (DSMD) has received much attention in recent years. Different from early researches tha…
Coverage and Capacity Optimization in STAR-RISs Assisted Networks: A Machine Learning Approach
Xinyu Gao, Wenqiang Yi, Alexandros Agapitos +2
Coverage and capacity are the important metrics for performance evaluation in wireless networks, while the coverage and capacity have several conflicting relationships, e.g. high t…
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Abolfazl Razi, Xiwen Chen, Huayu Li +4
This paper explores Deep Learning (DL) methods that are used or have the potential to be used for traffic video analysis, emphasizing driving safety for both Autonomous Vehicles (A…
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning
Kui Yu, Zhaolong Ling, Lin Liu +2
Local-to-global learning approach plays an essential role in Bayesian network (BN) structure learning. Existing local-to-global learning algorithms first construct the skeleton of…