3 papers
cs.AI2026
Does Thinking Help Fairness? Reasoning Tokens Resolve Some Biases but Create More
Deng Pan, Joe Germino, Yihong Ma +4
Thinking in reasoning language models (RLMs) has been subject to debate on whether it resolves or amplifies bias. Prior works have shown competing conclusions in both directions. U…
cs.LG2026
Human-AI Co-Mentorship in Project-Based Learning: A Case Study in Financial Forecasting
Freyaa Chawla, Ahan Chawla, Rishi Singh +2
This paper reflects on a AI research project carried out by a team of high-school and early-undergraduate students under the mentorship of graduate researchers and ably assisted by…
cs.LG2025
Intersectional Divergence: Measuring Fairness in Regression
Joe Germino, Nuno Moniz, Nitesh V. Chawla
Fairness in machine learning research is commonly framed in the context of classification tasks, leaving critical gaps in regression. In this paper, we propose a novel approach to…