2 papers
cs.AI2026
Null-Space Constrained Low-Rank Adaptation for Response-Specified Large Language Model Unlearning
Bocheng Ju, Jianhua Wang, Chengliang Liu +1
Large language model unlearning aims to suppress designated undesirable knowledge while preserving benign capabilities. Many unlearning objectives focus on suppressing undesired an…
cs.LG2026
Sparse Threats, Focused Defense: Criticality-Aware Robust Reinforcement Learning for Safe Autonomous Driving
Qi Wei, Junchao Fan, Zhao Yang +3
Reinforcement learning (RL) has shown considerable potential in autonomous driving (AD), yet its vulnerability to perturbations remains a critical barrier to real-world deployment.…