3 papers
cs.LG2026
Fatigue-Aware Learning to Defer via Constrained Optimisation
Zheng Zhang, Cuong C. Nguyen, David Rosewarne +2
Learning to defer (L2D) enables human-AI cooperation by deciding when an AI system should act autonomously or defer to a human expert. Existing L2D methods, however, assume static…
cs.CL2024
PID Control-Based Self-Healing to Improve the Robustness of Large Language Models
Zhuotong Chen, Zihu Wang, Yifan Yang +2
Despite the effectiveness of deep neural networks in numerous natural language processing applications, recent findings have exposed the vulnerability of these language models when…
cs.LG2023
Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective
Zhuotong Chen, Qianxiao Li, Zheng Zhang
The performance of state-of-the-art machine learning models often deteriorates when testing on demographics that are under-represented in the training dataset. This problem has pre…