LoopVL2 min read
LoopVL: Recurrent Visual Intelligence
We introduce LoopVL to study whether Loop Transformers can be effectively extended to vision- language models. LoopVL combines Module-Loop and Model-Loop computation to iteratively update a unified vision-language state through shared modules.
By Zhe Qian, Ziyang Gong, Zhongxing Xu, Hehan Li, Zhonghua Wang, Fei Luo, Mingxuan Wang, Xue Yang, Shiwei liu, Yanbiao Ma, Junchi Yan, Jungong HanarXiv - cs.CV (CV)
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Originally published by arXiv - cs.CV (CV) on Oct 1, 2026.
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