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Tianyue Wang · Leigang Qu · Tianyu Yang · Xiangzhao Hao · Yifan Xu · Haiyun Guo · Jinqiao Wang
ZhiYan Hou · Haiyun Guo · Haokai Ma · Yandu Sun · Yonghui Yang · Jinqiao Wang
Continual instruction tuning (CIT) requires multimodal large language models (MLLMs) to adapt to a stream of tasks without forgetting prior capabilities. A common strategy is to isolate updates by routing inputs to different LoRA experts. However, existing LoRA-based Mixture-of-Experts (MoE) meth...