Phuoc Nguyen

Orthogonally constrained low-rank adapters produce dangerously overconfident predictions, but transporting ensemble particles directly along the Stiefel manifold via Stein variational inference recovers reliable calibration without sacrificing accuracy.

Students who rapidly accept AI code suggestions are less likely to engage critically, revealing a potential pitfall in AI-assisted learning environments.