Author

Xing Sun

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Preprint Aug 2026

VIVAS: Vitalizing Visual Perception in VLM Pre-training via Vision-language Unified Autoregressive Supervision

VIVAS is proposed, a framework built upon the unified token space paradigm, which introduces a dense-structural-semantic vision tokenizer, which expands the textual vocabulary into a unified vision-language vocabulary by incorporating a visual vocabulary.

Zhe-Han Kan, Yu-Bo Zhu, Xing-Hua Jiang et al. · 0 citations

Preprint Aug 2026

UVU: Improving Multimodal Understanding via Vision-Language Unified Autoregressive Paradigm

Despite remarkable advancements in multimodal large language models (MLLMs), their fine-grained visual understanding is constrained by a primary reliance on sparse textual supervision. Existing efforts to introduce visual supervision typically do so during post-training, when visual representations have already been la...

Zhe-Han Kan, Xing-Hua Jiang, Yu-Bo Zhu et al. · 0 citations