Bi-VLM: Binary Post-Training Quantization for Vision-Language Models

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Authors: Association for Artificial Intelligence 2026, Rayyan Abdalla, J.J. Huang, Dinesh Manocha, Xijun Wang, Ruiqi Xian, Chengyuan Zhang
Cited by: 0

Abstract

We address the critical gap between the computational demands of vision-language models and the possible ultra-low-bit weight precision (bitwidth

Fields of Study & Subjects

Advanced Neural Network Applications Multimodal Machine Learning Applications Domain Adaptation and Few-Shot Learning

Publication details

Journal / source
Underline Science Inc.
Publication date
7 January 2026
Language
EN