Vision-Language Models (VLMs) such as CLIP excel in global semantic alignment but often lack fine-grained perceptual capabilities. This hinders dense prediction tasks and bottlenecks the visual potential of Multimodal Large Language Models (MLLMs). Existing research has attempted to enhance CLIP's visual representation...
Jun-Tong Li, Lingwei Dang, Hao-Min Wu et al.· 0 citations
Language-model agents are vulnerable to indirect prompt injection (IPI) during tool use: adversarial instructions hidden in untrusted tool outputs can covertly redirect legitimate task execution. Existing work often trains and evaluates defenses against fixed attacks that do not adapt to the defender's behavior, so the...
Bo-Yang Zhang, Qing-Xin Xiao, Lingwei Dang et al.· 2 citations
Roomer is presented, a reflective repair framework that casts local violations as sparse, object-grounded repair problems and repairs residual violations while preserving valid regions, improves physical validity and usability, and transfers across external generators.
Lingwei Dang, Ziyan Qiu, Jiajia Cheng et al.· 0 citations
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