2025 "mixture of experts" Papers

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Paper Type

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HMVLM:Human Motion-Vision-Language Model via MoE LoRA

Lei Hu, Yongjing Ye, Shihong Xia

NeurIPS 2025poster

LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation

Fangxun Shu, Yue Liao, Lei Zhang et al.

ICLR 2025posterarXiv:2408.15881

MoBA: Mixture of Block Attention for Long-Context LLMs

Enzhe Lu, Zhejun Jiang, Jingyuan Liu et al.

NeurIPS 2025spotlightarXiv:2502.13189

MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation

Shen Yuan, Yin Zheng, Taifeng Wang et al.

NeurIPS 2025posterarXiv:2506.14436

Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP

Yuxin Pan, Zhiguang Cao, Chengyang GU et al.

NeurIPS 2025posterarXiv:2510.21453

NetMoE: Accelerating MoE Training through Dynamic Sample Placement

Xinyi Liu, Yujie Wang, Fangcheng Fu et al.

ICLR 2025poster

SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing

Yingying Zhang, Lixiang Ru, Kang Wu et al.

ICCV 2025posterarXiv:2507.13812

Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders

James Oldfield, Shawn Im, Sharon Li et al.

NeurIPS 2025posterarXiv:2505.21364