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Chaoyu Li · Tianzhi Li · Fei Tao · ZHENYU ZHAO · Ziqian Wu · Maozheng Zhao · Juntong Song · Cheng Niu · Pooyan Fazli
Yogesh Kulkarni · Pooyan Fazli
Chaoyu Li · Yogesh Kulkarni · Pooyan Fazli
The computational cost of training multimodal large language models (MLLMs) grows rapidly with the number of processed tokens. Existing efficiency methods mainly target inference via token reduction or merging, offering limited benefits during training. We introduce ReGATE ( Re ference- G uided A...