3 papers
cs.AI2025
Taming the Real-world Complexities in CPT E/M Coding with Large Language Models
Islam Nassar, Yang Lin, Yuan Jin +8
Evaluation and Management (E/M) coding, under the Current Procedural Terminology (CPT) taxonomy, documents medical services provided to patients by physicians. Used primarily for b…
cs.CL2025
AutoGeTS: Knowledge-based Automated Generation of Text Synthetics for Improving Text Classification
Chenhao Xue, Yuanzhe Jin, Adrian Carrasco-Revilla +2
When developing text classification models for real world applications, one major challenge is the difficulty to collect sufficient data for all text classes. In this work, we addr…
cs.LG2025
VAR: Visual Analysis for Rashomon Set of Machine Learning Models' Performance
Yuanzhe Jin
Evaluating the performance of closely matched machine learning(ML) models under specific conditions has long been a focus of researchers in the field of machine learning. The Rasho…