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2020 – today
- 2026
[i7]Zihan Qiu, Zeyu Huang, Kaiyue Wen, Peng Jin, Bo Zheng, Yuxin Zhou, Haofeng Huang, Zekun Wang, Xiao Li, Huaqing Zhang, Yang Xu, Haoran Lian, Siqi Zhang, Rui Men, Jianwei Zhang, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin:
A Unified View of Attention and Residual Sinks: Outlier-Driven Rescaling is Essential for Transformer Training. CoRR abs/2601.22966 (2026)- 2025
- [c4]Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding:
Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal. AAAI 2025: 24539-24548 - [c3]Haoran Lian, Junmin Chen, Wei Huang, Yizhe Xiong, Wenping Hu, Guiguang Ding, Hui Chen, Jianwei Niu, Zijia Lin, Fuzheng Zhang, Di Zhang:
Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models. COLING 2025: 4897-4909 - [c2]Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Zhenpeng Su, Wei Huang, Jianwei Niu, Jungong Han, Guiguang Ding:
Temporal Scaling Law for Large Language Models. EMNLP 2025: 24463-24483 - [c1]Haoran Lian, Yizhe Xiong, Zijia Lin, Jianwei Niu, Shasha Mo, Hui Chen, Peng Liu, Guiguang Ding:
LBPE: Long-token-first Tokenization to Improve Large Language Models. ICASSP 2025: 1-5 - [i6]Yizhe Xiong, Wei Huang, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Zhenpeng Su, Jungong Han, Guiguang Ding:
UniAttn: Reducing Inference Costs via Softmax Unification for Post-Training LLMs. CoRR abs/2502.00439 (2025) - 2024
- [i5]Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Jianwei Niu
, Guiguang Ding:
Temporal Scaling Law for Large Language Models. CoRR abs/2404.17785 (2024) - [i4]Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Peng Liu, Hui Chen, Guiguang Ding:
Scaffold-BPE: Enhancing Byte Pair Encoding with Simple and Effective Scaffold Token Removal. CoRR abs/2404.17808 (2024) - [i3]Zhenpeng Su, Zijia Lin, Xue Bai, Xing Wu, Yizhe Xiong, Haoran Lian, Guangyuan Ma, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu:
MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts. CoRR abs/2407.09816 (2024) - [i2]Haoran Lian, Yizhe Xiong, Zijia Lin, Jianwei Niu, Shasha Mo, Hui Chen, Peng Liu, Guiguang Ding:
LBPE: Long-token-first Tokenization to Improve Large Language Models. CoRR abs/2411.05504 (2024) - [i1]Haoran Lian, Junmin Chen, Wei Huang, Yizhe Xiong, Wenping Hu, Guiguang Ding, Hui Chen, Jianwei Niu, Zijia Lin, Fuzheng Zhang, Di Zhang:
Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models. CoRR abs/2412.07171 (2024)
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