3 papers
cs.CL2026
StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation
Huawei Zheng, Xinqi Jiang, Sen Yang +3
Large language models (LLMs) are increasingly applied in specialized domains such as finance and healthcare, where they introduce unique safety risks. Domain-specific datasets of h…
cs.CV2024
Non-target Divergence Hypothesis: Toward Understanding Domain Gaps in Cross-Modal Knowledge Distillation
Yilong Chen, Zongyi Xu, Xiaoshui Huang +4
Compared to single-modal knowledge distillation, cross-modal knowledge distillation faces more severe challenges due to domain gaps between modalities. Although various methods hav…
cs.CV2024
Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation
Yilong Chen, Zongyi Xu, xiaoshui Huang +3
Weakly supervised LiDAR semantic segmentation has made significant strides with limited labeled data. However, most existing methods focus on the network training under weak superv…