QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models
机构 * Tandon School of Engineering, New York University(纽约大学工程学院) ; Courant Institute of Mathematical Sciences, New York University(纽约大学数学科学学院)
专题命中 视觉问答 :vision-language model(title,abstract);VLM(abstract);visual question answering(abstract);分类 cs.LG
Comments Accepted as Spotlight paper by NeurIPS 2025