2 papers
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
iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text Classification
Yuanzhe Jin, Adrian Carrasco-Revilla, Min Chen
In developing machine learning (ML) models for text classification, one common challenge is that the collected data is often not ideally distributed, especially when new classes ar…