QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models

NeurIPSSpotlight2025

Authors
Yutong Wang, Haiyu Wang, Sai Qian Zhang
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

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 processing time, li…

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Topics

vision-language language model efficient memory

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