2 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design
Andre Nakkab, Sai Qian Zhang, Ramesh Karri +1
Large Language Models (LLMs) are effective in computer hardware synthesis via hardware description language (HDL) generation. However, LLM-assisted approaches for HDL generation st…
Hyft: A Reconfigurable Softmax Accelerator with Hybrid Numeric Format for both Training and Inference
Tianhua Xia, Sai Qian Zhang
The attention mechanism is a pivotal element within the transformer architecture, making a substantial contribution to its exceptional performance. Within this attention mechanism,…