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Bingxu Xie, Jincan Wu, Yonghui Liu, and Zhiyong Su are with the School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, P.R. China (e-mail: 2580801219@qq.com, 2500381260@qq.com, 2146623762@qq.com, su@njust.edu.cn)Bingxu Xie, and Fang Zhou are with the National Key Laboratory of Information Systems Engineering, Nanjing, Jiangsu Province 210007, P.R. China (e-mail: 2580801219@qq.com, 406fangzhou@163.com)Weiqing Li is with the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, P.R. China (e-mail: li_weiqing@njust.edu.cn).Manuscript received 00 00, 0000; revised 00 00, 0000
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LLMs can dynamically optimize the training curriculum of multimodal retrieval models, leading to significant gains in retrieval accuracy by adapting to the model's evolving state.
