3 papers
cs.CV2026
DreamRealm: Exploring and Materializing Hallucination Worlds for Trustworthy Vision-Language Models
Benlei Cui, Chunyang Chai, Yiliang Zhang +6
Multimodal large language models (MLLMs) remain prone to visual hallucinations when correct responses depend on subtle visual details. One line of post-training methods constructs…
cs.CV2026
Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety
Shikai Qiu, Xiaowen Xu, Benlei Cui +55
General-purpose models often struggle to reliably identify and understand real-world multimodal risks, largely due to the inherent multimodal adversarial nature of content and AI s…
cs.CR2026
XekRung Technical Report
Jiutian Zeng, Junjie Li, Chengwei Dai +13
We present XekRung, a frontier large language model for cybersecurity, designed to provide comprehensive security capabilities. To achieve this, we develop diverse data synthesis p…