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Shwai He
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2020 – today
- 2024
- [j1]Hongtai Jing, Zhengtao Gao, Sheng Xu
, Tao Shen, Zhangzhi Peng, Shwai He, Tao You, Shuang Ye, Wei Lin, Siqi Sun
:
Accurate prediction of antibody function and structure using bio-inspired antibody language model. Briefings Bioinform. 25(4) (2024) - [c7]Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou:
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning. ACL (1) 2024: 14255-14273 - [i15]Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou:
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning. CoRR abs/2402.00530 (2024) - [i14]Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou:
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. CoRR abs/2402.10110 (2024) - [i13]Run-Ze Fan, Xuefeng Li, Haoyang Zou, Junlong Li, Shwai He, Ethan Chern, Jiewen Hu, Pengfei Liu:
Reformatted Alignment. CoRR abs/2402.12219 (2024) - [i12]Shwai He, Tianlong Chen:
RESSA: Repair Sparse Vision-Language Models via Sparse Cross-Modality Adaptation. CoRR abs/2404.02424 (2024) - [i11]Shwai He, Daize Dong, Liang Ding, Ang Li:
Demystifying the Compression of Mixture-of-Experts Through a Unified Framework. CoRR abs/2406.02500 (2024) - [i10]Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele:
Loki: Low-Rank Keys for Efficient Sparse Attention. CoRR abs/2406.02542 (2024) - [i9]Shwai He, Guoheng Sun, Zheyu Shen, Ang Li:
What Matters in Transformers? Not All Attention is Needed. CoRR abs/2406.15786 (2024) - 2023
- [c6]Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao:
PAD-Net: An Efficient Framework for Dynamic Networks. ACL (1) 2023: 14354-14366 - [c5]Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao:
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. EMNLP 2023: 14685-14691 - [c4]Chenbo Jiang, Jie Yang, Shwai He, Yu-Kun Lai, Lin Gao:
NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes. ICML 2023: 15170-15185 - [c3]Shwai He, Chenbo Jiang, Daize Dong, Liang Ding:
SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution. WACV 2023: 6443-6452 - [i8]Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao:
MerA: Merging Pretrained Adapters For Few-Shot Learning. CoRR abs/2308.15982 (2023) - [i7]Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao:
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. CoRR abs/2310.09832 (2023) - [i6]Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Heng Huang, Jiuxiang Gu, Tianyi Zhou:
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. CoRR abs/2310.11716 (2023) - 2022
- [c2]Shwai He, Liang Ding, Daize Dong, Jeremy Zhang, Dacheng Tao:
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. EMNLP (Findings) 2022: 2184-2190 - [c1]Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao:
Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT 2022: 411-422 - [i5]Shwai He, Yuhang Li, Chenbo Jiang, Shi Gu:
When Sparsity Meets Dynamic Convolution. CoRR abs/2204.02227 (2022) - [i4]Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao:
Vega-MT: The JD Explore Academy Translation System for WMT22. CoRR abs/2209.09444 (2022) - [i3]Shwai He, Liang Ding, Daize Dong, Miao Zhang, Dacheng Tao:
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. CoRR abs/2210.04284 (2022) - [i2]Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao:
Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks. CoRR abs/2211.05528 (2022) - 2021
- [i1]Shwai He, Shi Gu:
Multi-modal Attention Network for Stock Movements Prediction. CoRR abs/2112.13593 (2021)
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last updated on 2024-08-25 20:05 CEST by the dblp team
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