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ORCIDAnke Tang
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2020 – today
- 2025
[i13]Yongxian Wei, Anke Tang, Li Shen, Chun Yuan, Xiaochun Cao:
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent. CoRR abs/2501.01230 (2025)- [i12]Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao:
Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging. CoRR abs/2501.09522 (2025) - [i11]Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang:
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. CoRR abs/2502.06876 (2025) - 2024
- [c3]Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao:
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. ICLR 2024 - [c2]Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao:
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. ICML 2024 - [i10]Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao:
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. CoRR abs/2402.00433 (2024) - [i9]Anke Tang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao:
FusionBench: A Comprehensive Benchmark of Deep Model Fusion. CoRR abs/2406.03280 (2024) - [i8]Anke Tang, Li Shen, Yong Luo, Shiwei Liu, Han Hu, Bo Du:
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion. CoRR abs/2406.09770 (2024) - [i7]Anke Tang, Li Shen, Yong Luo, Shuai Xie, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao:
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models. CoRR abs/2408.10174 (2024) - [i6]Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu:
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. CoRR abs/2410.13910 (2024) - [i5]Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao:
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging. CoRR abs/2410.21804 (2024) - 2023
- [c1]Anke Tang
, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao:
Improving Heterogeneous Model Reuse by Density Estimation. IJCAI 2023: 4244-4252 - [i4]Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao:
Improving Heterogeneous Model Reuse by Density Estimation. CoRR abs/2305.13871 (2023) - [i3]Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao:
Parameter Efficient Multi-task Model Fusion with Partial Linearization. CoRR abs/2310.04742 (2023) - [i2]Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Dacheng Tao:
Learn From Model Beyond Fine-Tuning: A Survey. CoRR abs/2310.08184 (2023) - [i1]Anke Tang, Li Shen, Yong Luo, Liang Ding, Han Hu, Bo Du, Dacheng Tao:
Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion. CoRR abs/2312.06173 (2023)
Coauthor Index
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