Author

Tao Hu

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#machine learning Preprint Sep 2026

ReCAP: Retrieval-Guided Capability Reuse for Multimodal Continual Instruction Tuning

Multimodal continual instruction tuning (MCIT) aims to enable multimodal large language models to acquire new capabilities from sequential tasks while preserving previously learned knowledge. Existing methods primarily mitigate catastrophic forgetting by constraining parameter updates or separating task-specific adapta...

Tao Hu, Zhi-Nuo Zhou, Xia-Liang Tong et al. · 0 citations

#machine learning Preprint Sep 2026

Visual Branch is What You Need for CLIP-based Class-Incremental Learning

Class-Incremental Learning (CIL) requires models to recognize new classes over time without forgetting previously learned ones. With the rise of vision-language pre-training, CLIP has become a strong foundation for CIL. A common design in CLIP-based CIL is to construct textual classifier weights by encoding class-name...

Tao Hu, Zheng-He Xie, Jing-Cai Guo et al. · 0 citations