Fanhu Zeng

MS student, Institute of automation, Chinese academy of science, Chinese Academy of Sciences

1 paper at NeurIPS 2025

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Poster Session 1

1 paper

Wednesday, December 3, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness

#2411 Spotlight · Fanhu Zeng, Haiyang Guo, Fei Zhu, Li Shen, Hao Tang

An effective parameter-efficient model merging method for multimodal large language models from the perspective of direction robustness in low-rank space