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cs.LG2026
LSVD: Loss-Aware Low-Rank Approximation for Efficient Low-Precision Vision-Language Models
Haiyu Wang, Yutong Wang, Leshu Li +2
Vision-language models (VLMs) deliver strong multimodal reasoning capabilities, but their large computational cost and high parameter counts make deployment challenging on resource…
cs.LG2025
QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models
Yutong Wang, Haiyu Wang, Sai Qian Zhang
Vision-Language Models (VLMs) are integral to tasks such as image captioning and visual question answering, but their high computational cost, driven by large memory footprints and…