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Yong Luo

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Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases

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Feb 13, 2024
Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao

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Merging Multi-Task Models via Weight-Ensembling Mixture of Experts

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Feb 01, 2024
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao

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WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge

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Jan 12, 2024
Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao

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OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models

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Jan 12, 2024
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao

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Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion

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Dec 11, 2023
Anke Tang, Li Shen, Yong Luo, Liang Ding, Han Hu, Bo Du, Dacheng Tao

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Federated Learning with Manifold Regularization and Normalized Update Reaggregation

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Nov 10, 2023
Xuming An, Li Shen, Han Hu, Yong Luo

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Learn From Model Beyond Fine-Tuning: A Survey

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Oct 12, 2023
Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Dacheng Tao

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Parameter Efficient Multi-task Model Fusion with Partial Linearization

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Oct 10, 2023
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao

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Decompose Semantic Shifts for Composed Image Retrieval

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Sep 18, 2023
Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang

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DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices

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Sep 10, 2023
Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao

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