3 papers
cs.CV2026
WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models
Haiyu Wang, Yutong Wang, Jack Jiang +1
Singular Value Decomposition (SVD) has become an important technique for reducing the computational burden of Vision Language Models (VLMs), which play a central role in tasks such…
cs.CV2025
CapRecover: A Cross-Modality Feature Inversion Attack Framework on Vision Language Models
Kedong Xiu, Sai Qian Zhang
As Vision-Language Models (VLMs) are increasingly deployed in split-DNN configurations--with visual encoders (e.g., ResNet, ViT) operating on user devices and sending intermediate…
cs.AR2025
HAAN: A Holistic Approach for Accelerating Normalization Operations in Large Language Models
Tianfan Peng, Jiajun Qin, Tianhua Xia +1
Large language models (LLMs) have revolutionized natural language processing (NLP) tasks by achieving state-of-the-art performance across a range of benchmarks. Central to the succ…