4 citations · 5 across the 3 of their papers we have counts for
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cs.CV2025★ 4 cited
LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training
Xiang An, Yin Xie, Kaicheng Yang +20
We present LLaVA-OneVision-1.5, a novel family of Large Multimodal Models (LMMs) that achieve state-of-the-art performance with significantly reduced computational and financial co…
cs.LG2025
Identifying Sensitive Weights via Post-quantization Integral
Yuezhou Hu, Weiyu Huang, Zichen Liang +4
Serving Large Language Models (LLMs) is costly. However, post-training weight quantization can address this problem by both compressing their sizes for limited memory and saving ba…