Daize Dong

According to our database, Daize Dong authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques.

Shwai He, Daize Dong, Liang Ding, Ang Li

Trans. Mach. Learn. Res., 2025

Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts.

Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training.

Xiaoye Qu, Daize Dong, Xuyang Hu, Tong Zhu, Weigao Sun, Yu Cheng

CoRR, 2024

DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs.

Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen

CoRR, 2024

Demystifying the Compression of Mixture-of-Experts Through a Unified Framework.

Shwai He, Daize Dong, Liang Ding, Ang Li

CoRR, 2024

A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer.

Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

iDAT: inverse Distillation Adapter-Tuning.

Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Daize Dong, Suncheng Xiang, Ting Liu, Yuzhuo Fu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training.

Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution.

Shwai He, Chenbo Jiang, Daize Dong, Liang Ding

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

PAD-Net: An Efficient Framework for Dynamic Networks.

Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks.

Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao

CoRR, 2022

SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters.

Shwai He, Liang Ding, Daize Dong, Miao Zhang, Dacheng Tao

CoRR, 2022

SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters.

Shwai He, Liang Ding, Daize Dong, Jeremy Zhang, Dacheng Tao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022