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VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning
Xianwei Zhuang, Yuxin Xie, Yufan Deng +5
In this work, we present VARGPT-v1.1, an advanced unified visual autoregressive model that builds upon our previous framework VARGPT. The model preserves the dual paradigm of next-…
VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model
Xianwei Zhuang, Yuxin Xie, Yufan Deng +4
We present VARGPT, a novel multimodal large language model (MLLM) that unifies visual understanding and generation within a single autoregressive framework. VARGPT employs a next-t…
VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification
Xianwei Zhuang, Zhihong Zhu, Yuxin Xie +2
Large Vision-Language Models (LVLMs) may produce outputs that are unfaithful to reality, also known as visual hallucinations (VH), which significantly impedes their real-world usag…
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues
Yuxin Xie, Tao Zhou, Yi Zhou +1
Weakly-supervised medical image segmentation is a challenging task that aims to reduce the annotation cost while keep the segmentation performance. In this paper, we present a nove…