Author

Zhiwen Ruan

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Conference Open access Jul 2026

VFA: Empowering Multilingual MLLMs via Vision-Free Adaptation

Vision-Free Adaptation (VFA) is proposed, a framework that decouples multilingual language enhancement from visual alignment by composing complementary task vectors over a shared LLM backbone.

Yixia Li, Yaqing Shi, Zhiwen Ruan et al. · Annual Meeting of the Associ... · 0 citations

Book Open access Aug 2026

SAFT: Safety-Preserving Adaptation via Fine-Tuning Transfer for Large Language Models

SAFT (Safety-preserving Adaptation via Fine-tuning Transfer), a safety-preserving adaptation framework that decouples task learning from alignment preservation by learning a safety-guided task update on the paired pretrained base model, rectifying task gradients to avoid conflicting directions with respect to a safety objective, and then transferring the update to the frozen instruction model via parameter-space grafting.

Zhiwen Ruan, Yan Yang, Zhuocheng Liang et al. · Proceedings of the 32nd ACM... · 0 citations