19 citations · 50 across the 5 of their papers we have counts for
5 papers
The Life Cycle of Large Language Models: A Review of Biases in Education
Jinsook Lee, Yann Hicke, Renzhe Yu +2
Large Language Models (LLMs) are increasingly adopted in educational contexts to provide personalized support to students and teachers. The unprecedented capacity of LLM-based appl…
Temporal and Between-Group Variability in College Dropout Prediction
Dominik Glandorf, Hye Rin Lee, Gabe Avakian Orona +3
Large-scale administrative data is a common input in early warning systems for college dropout in higher education. Still, the terminology and methodology vary significantly across…
Fairness Hub Technical Briefs: AUC Gap
Jinsook Lee, Chris Brooks, Renzhe Yu +1
To measure bias, we encourage teams to consider using AUC Gap: the absolute difference between the highest and lowest test AUC for subgroups (e.g., gender, race, SES, prior knowled…
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
Josh Gardner, Renzhe Yu, Quan Nguyen +2
Modern machine learning increasingly supports paradigms that are multi-institutional (using data from multiple institutions during training) or cross-institutional (using models fr…
A Robust Approach for the Decomposition of High-Energy-Consuming Industrial Loads with Deep Learning
Jia Cui, Yonghui Jin, Renzhe Yu +4
The knowledge of the users' electricity consumption pattern is an important coordinating mechanism between the utility company and the electricity consumers in terms of key decisio…