Author

Heng-Tao Shen

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Preprint Sep 2026

MoR-MLLM: Mixture of Recursions for Efficient Multimodal Large Language Models

Multimodal Large Language Models (MLLMs) have demonstrated remarkable reasoning capabilities across vision and language tasks. However, their massive computational and memory demands hinder real-world deployment. While recent efforts reduce costs by employing lightweight language backbones, existing paradigms remain co...

Peng-Cheng Zheng, Chao-Ning Zhang, Jia-Xing Yan et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Spotter: Let the Embodied Model Lead, and the VLM Reflect for It

Spotter is proposed, which reverses the roles: the embodied model leads and executes continuously, while the VLM runs in parallel, monitors through a lightweight local screener, intervenes only when an error is detected, reflects on and corrects it, and returns control.

Long Li, Qi-Chao Zhao, Yue Yang et al. · 0 citations