2 papers
cs.CL2025
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
Jiaqi Bai, Hongcheng Guo, Zhongyuan Peng +4
Large vision-language models show tremendous potential in understanding visual information through human languages. However, they are prone to suffer from object hallucination, i.e…
cs.CR2025
Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks
Wenpeng Xing, Minghao Li, Mohan Li +1
Embodied AI systems, including robots and autonomous vehicles, are increasingly integrated into real-world applications, where they encounter a range of vulnerabilities stemming fr…