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Limeng Qiao

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#artificial intelligence Preprint Oct 2026

ReasonUni: Reasoning-Augmented Reconstruction Advances Unified Multimodal Models

Image-to-text (I2T) understanding and text-to-image (T2I) generation are dual tasks in unified multimodal models (UMMs). Reconstructive post-training couples these tasks, but existing reconstruction-based methods remain perception-centric and provide limited supervision for reasoning about structure, intent, and transf...

Fei-Ze Wu, Zhi-Yuan Yan, Yuri Hong et al. · 0 citations
Preprint Aug 2026

UniSpace: Unified Visual Representation and Scalable Multimodal Modeling

Patch Reparameterization is introduced, which preserves the original semantic pathway while adding a reconstruction-aware patch embedding that provides fine-grained visual information to the same frozen ViT blocks, and preserves multimodal understanding while enabling high-fidelity image reconstruction and a favorable...

Jinbo Yan, Limeng Qiao, Jie Qin et al. · 0 citations
Preprint Jul 2026

HoloCount: A Holistic Visual Counting Benchmark for MLLMs

Through an exhaustive evaluation of over 20 state-of-the-art MLLMs, HoloCount reveals a critical performance gap: even top-tier models degrade significantly as tasks transition from perception to complex analytical reasoning and adverse scenarios.

Jinhong Deng, Limeng Qiao, Guanglu Wan · 0 citations

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