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Fan Mo

2 papers indexed

arxivcs.ROcs.AI2026-07-06

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales

Yang Li, Feng Xue, Fan Mo, Yunhao Liu, Jianhong Wang, Ying Wen, et al.

Deploying robot teams in the real world requires simultaneous adaptation to unseen environments, unknown partners, and varying team sizes, yet existing approaches often address these challenges in isolation under the closed-world assumption of fixed teammates. We formalize this a…

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arxivcs.LG2026-06-26

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models

Fan Mo, Yuxuan Han, Geng Zhang, Wangbo Zhao, Yang You

Mixture-of-Experts (MoE) language models scale model ability with sparsely activated experts, making this architecture a standard recipe for modern large models. However, sparse activation does not remove the deployment burden of storing and serving all experts, and the available…

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