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Yadao Wang
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2020 – today
- 2026
- [i11]Chengting Yu, Xiaobo Shu, Yadao Wang, Yizhen Zhang, Haoyi Wu, You Wu, Rujiao Long, Ziheng Chen, Yuchi Xu, Wenbo Su, Bo Zheng:
SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion. CoRR abs/2602.11698 (2026) - [i10]Jiaang Li, Haibin Chen, Langming Liu, Yujin Yuan, Yadao Wang, Yizhen Zhang, Chengting Yu, Xin Tong, Weidong Zhang, Shilei Liu, Wenbo Su, Bo Zheng:
Expert Divergence Learning for MoE-based Language Models. CoRR abs/2603.00054 (2026) - 2025
- [i9]Chongjie Si, Kangtao Lv, Jingjing Jiang, Yadao Wang, Yongwei Wang, Xiaokang Yang, Wenbo Su, Bo Zheng, Wei Shen:
NAN: A Training-Free Solution to Coefficient Estimation in Model Merging. CoRR abs/2505.16148 (2025) - [i8]Chongjie Si, Zhiyi Shi, Yadao Wang, Xiaokang Yang, Susanto Rahardja, Wei Shen:
MAP: Revisiting Weight Decomposition for Low-Rank Adaptation. CoRR abs/2505.23094 (2025) - [i7]Chongjie Si, Xuankun Yang, Muqing Liu, Yadao Wang, Xiaokang Yang, Wenbo Su, Bo Zheng, Wei Shen:
Weight Spectra Induced Efficient Model Adaptation. CoRR abs/2505.23099 (2025) - [i6]Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo, Yancheng He, Ju Huang, Jiaheng Liu, Zhendong Li, Xiaoyang Li, Zichen Liu, Haizhou Zhao, Dakai An, Lunxi Cao, Qiyang Cao, Wanxi Deng, Feilei Du, Yiliang Gu, Jiahe Li, Xiang Li, Mingjie Liu, Yijia Luo, Zihe Liu, Yadao Wang, Pei Wang, Tianyuan Wu, Yanan Wu, Yuheng Zhao
, Shuaibing Zhao, Jin Yang, Siran Yang, Yingshui Tan, Huimin Yi, Yuchi Xu, Yujin Yuan, Xingyao Zhang, Lin Qu, Wenbo Su, Wei Wang, Jiamang Wang, Bo Zheng:
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. CoRR abs/2506.06122 (2025) - [i5]Chengting Yu, Xiaobo Shu, Yadao Wang, Yizhen Zhang, Haoyi Wu, Jiaang Li, Rujiao Long, Ziheng Chen, Yuchi Xu, Wenbo Su, Bo Zheng:
MeSH: Memory-as-State-Highways for Recursive Transformers. CoRR abs/2510.07739 (2025) - 2023
- [c3]Zhengkun Zhang, Wenya Guo, Xiaojun Meng
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks. ACL (Findings) 2023: 11442-11453 - [i4]Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, Xinjing Huang, Yadao Wang, Weichao Wang, Pengfei Li, Xiaoda Zhang, Alexander Podolskiy, Grigory Arshinov, Andrey Bout, Irina Piontkovskaya, Jiansheng Wei, Xin Jiang, Teng Su, Qun Liu, Jun Yao:
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing. CoRR abs/2303.10845 (2023) - 2022
- [c2]Yazheng Li, Pengyun Wang, Yasheng Wang, Yong Dai, Yadao Wang, Lujia Pan, Zenglin Xu:
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering. EMNLP (Findings) 2022: 1352-1364 - [c1]Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun:
Sparse Structure Search for Delta Tuning. NeurIPS 2022 - [i3]Zhengkun Zhang, Wenya Guo, Xiaojun Meng, Yasheng Wang, Yadao Wang, Xin Jiang, Qun Liu, Zhenglu Yang:
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks. CoRR abs/2203.03878 (2022) - [i2]Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun:
Sparse Structure Search for Parameter-Efficient Tuning. CoRR abs/2206.07382 (2022) - 2021
- [i1]Xin Wang, Yasheng Wang, Pingyi Zhou, Fei Mi, Meng Xiao, Yadao Wang, Li Li, Xiao Liu, Hao Wu, Jin Liu, Xin Jiang:
CLSEBERT: Contrastive Learning for Syntax Enhanced Code Pre-Trained Model. CoRR abs/2108.04556 (2021)
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