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Bingxin Xu

2 accepted papers

2025

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models

Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan
ICCV 2025poster

Large Multimodal Models (LMMs) have shown significant visual reasoning capabilities by connecting a visual encoder and a large language model. LMMs typically take in a fixed and large amount of visual tokens, such as the penultimate layer features in the CLIP visual encoder, as the prefix content. R…

Cited by 0Source ↗PDF ↗Scholar ↗
2023

Causal-DFQ: Causality Guided Data-Free Network Quantization

Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
ICCV 2023poster

Model quantization, which aims to compress deep neural networks and accelerate inference speed, has greatly facilitated the development of cumbersome models on mobile and edge devices. There is a common assumption in quantization methods from prior works that training data is available. In practice,…

Cited by 6PDF ↗code ↗Scholar ↗