3 papers
cs.CL2026
Mechanism-Aligned Observability for Training Instability of Large Language Models
Ruixuan Huang, Yipei Wang, Hantao Huang +7
Frontier large language model training consumes massive accelerator fleets over long wall-clock times, making stability failures extremely costly. However, global symptoms such as…
cs.LG2026
On the Effects of Adversarial Perturbations on Distribution Robustness
Yipei Wang, Zhaoying Pan, Xiaoqian Wang
Adversarial robustness refers to a model's ability to resist perturbation of inputs, while distribution robustness evaluates the performance of the model under data shifts. Althoug…
cs.LG2024
Learning the irreversible progression trajectory of Alzheimer's disease
Yipei Wang, Bing He, Shannon Risacher +3
Alzheimer's disease (AD) is a progressive and irreversible brain disorder that unfolds over the course of 30 years. Therefore, it is critical to capture the disease progression in…