1 citations · 1 across the 4 of their papers we have counts for
4 papers
Trust Is Not Enough: Influence Calibration for On-Policy Self-Distillation in Agentic RL
Qizhen Lan, Xi Xiao, Xiangchen Guan +4
On-policy self-distillation (OPSD) gives language agents dense token-level supervision from a privileged self-teacher on the policy's own trajectories. Existing methods allocate th…
Displacement Preserving Relational Distillation for Robust Medical Segmentation
Zhicheng Ding, Xinyu Chu, Jung Im Choi +5
Accurate 3D medical segmentation is limited by anatomical variability and high computational costs. While knowledge distillation (KD) offers a route for model compression, conventi…
Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults
Dong Hyun Jeon, Lijing Zhu, Haifang Li +6
Temporal Graph Neural Networks (TGNNs) have become indispensable for analyzing dynamic graphs in critical applications such as social networks, communication systems, and financial…
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding
Lijing Zhu, Qizhen Lan, Qing Tian +8
Continual Knowledge Graph Embedding (CKGE) seeks to integrate new knowledge while preserving past information. However, existing methods struggle with efficiency and scalability du…