2 papers
cs.CV2026
Semantic Robustness Probing via Inpainting: An Interactive Tool for Safety-Critical Object Detection
Nico Steckhan, Krutarth Prajapati, Weija Shao +1
Testing object detectors in safety-critical domains requires semantically meaningful probes beyond pixel-level corruptions. We present SemProbe, a tool for semantic robustness prob…
cs.CL2026
Detoxification for LLM: From Dataset Itself
Wei Shao, Yihang Wang, Gaoyu Zhu +4
Existing detoxification methods for large language models mainly focus on post-training stage or inference time, while few tackle the source of toxicity, namely, the dataset itself…