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2020 – today
- 2025
[i15]Enzhe Lu, Zhejun Jiang, Jingyuan Liu, Yulun Du, Tao Jiang, Chao Hong, Shaowei Liu, Weiran He, Enming Yuan, Yuzhi Wang, Zhiqi Huang, Huan Yuan, Suting Xu, Xinran Xu, Guokun Lai, Yanru Chen, Huabin Zheng, Junjie Yan, Jianlin Su, Yuxin Wu, Neo Y. Zhang, Zhilin Yang, Xinyu Zhou, Mingxing Zhang, Jiezhong Qiu:
MoBA: Mixture of Block Attention for Long-Context LLMs. CoRR abs/2502.13189 (2025)- [i14]Jingyuan Liu, Jianlin Su, Xingcheng Yao, Zhejun Jiang, Guokun Lai, Yulun Du, Yidao Qin, Weixin Xu, Enzhe Lu, Junjie Yan, Yanru Chen, Huabin Zheng, Yibo Liu, Shaowei Liu, Bohong Yin, Weiran He, Han Zhu, Yuzhi Wang, Jianzhou Wang, Mengnan Dong, Zheng Zhang, Yongsheng Kang, Hao Zhang, Xinran Xu, Yutao Zhang, Yuxin Wu, Xinyu Zhou, Zhilin Yang:
Muon is Scalable for LLM Training. CoRR abs/2502.16982 (2025) - [i13]KimiTeam, Ding Ding, Zeqian Ju, Yichong Leng, Songxiang Liu, Tong Liu, Zeyu Shang, Kai Shen, Wei Song, Xu Tan, Heyi Tang, Zhengtao Wang, Chu Wei, Yifei Xin, Xinran Xu, Jianwei Yu, Yutao Zhang, Xinyu Zhou, Y. Charles, Jun Chen, Yanru Chen, Yulun Du, Weiran He, Zhenxing Hu, Guokun Lai, Qingcheng Li, Yangyang Liu, Weidong Sun, Jianzhou Wang, Yuzhi Wang, Yuefeng Wu, Yuxin Wu, Dongchao Yang, Hao Yang, Ying Yang, Zhilin Yang, Aoxiong Yin, Ruibin Yuan, Yutong Zhang, Zaida Zhou:
Kimi-Audio Technical Report. CoRR abs/2504.18425 (2025) - [i12]Yu Zhang, Zongyu Lin, Xingcheng Yao, Jiaxi Hu, Fanqing Meng, Chengyin Liu, Xin Men, Songlin Yang, Zhiyuan Li, Wentao Li, Enzhe Lu, Weizhou Liu, Yanru Chen, Weixin Xu, Longhui Yu, Yejie Wang, Yu Fan, Longguang Zhong, Enming Yuan, Dehao Zhang, Yizhi Zhang, T. Y. Liu, Haiming Wang, Shengjun Fang, Weiran He, Shaowei Liu, Yiwei Li, Jianlin Su, Jiezhong Qiu, Bo Pang, Junjie Yan, Zhejun Jiang, Weixiao Huang, Bohong Yin, Jiacheng You, Chu Wei, Zhengtao Wang, Chao Hong, Yutian Chen, Guanduo Chen, Yucheng Wang, Huabin Zheng, Feng Wang, Yibo Liu, Mengnan Dong, Zheng Zhang, Siyuan Pan, Wenhao Wu, Yuhao Wu, Longyu Guan, Jiawen Tao, Guohong Fu, Xinran Xu, Yuzhi Wang, Guokun Lai, Yuxin Wu, Xinyu Zhou, Zhilin Yang, Yulun Du:
Kimi Linear: An Expressive, Efficient Attention Architecture. CoRR abs/2510.26692 (2025) - 2023
- [i11]Ruohong Zhang, Luyu Gao, Chen Zheng, Zhen Fan, Guokun Lai, Zheng Zhang, Fangzhou Ai, Yiming Yang, Hongxia Yang:
A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest. CoRR abs/2311.10614 (2023) - 2020
- [c8]Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang:
Correlation-Aware Change-Point Detection via Graph Neural Networks. ICONIP (3) 2020: 555-567 - [c7]Zihang Dai, Guokun Lai, Yiming Yang, Quoc Le:
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing. NeurIPS 2020 - [i10]Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang:
Explainable Unsupervised Change-point Detection via Graph Neural Networks. CoRR abs/2004.11934 (2020) - [i9]Zihang Dai, Guokun Lai, Yiming Yang, Quoc V. Le:
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing. CoRR abs/2006.03236 (2020) - [i8]Guokun Lai, Zihang Dai, Yiming Yang:
Unsupervised Parallel Corpus Mining on Web Data. CoRR abs/2009.08595 (2020)
2010 – 2019
- 2019
- [c6]Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo:
Re-examination of the Role of Latent Variables in Sequence Modeling. NeurIPS 2019: 7812-7822 - [i7]Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo:
Re-examination of the Role of Latent Variables in Sequence Modeling. CoRR abs/1902.01388 (2019) - [i6]Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov:
Bridging the domain gap in cross-lingual document classification. CoRR abs/1909.07009 (2019) - 2018
- [c5]Qizhe Xie, Guokun Lai, Zihang Dai, Eduard H. Hovy
:
Large-scale Cloze Test Dataset Created by Teachers. EMNLP 2018: 2344-2356 - [c4]Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu:
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. SIGIR 2018: 95-104 - [i5]Guokun Lai, Bohan Li, Guoqing Zheng, Yiming Yang:
Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data. CoRR abs/1806.06116 (2018) - 2017
- [c3]Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. EMNLP 2017: 785-794 - [i4]Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu:
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. CoRR abs/1703.07015 (2017) - [i3]Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. CoRR abs/1704.04683 (2017) - [i2]Guokun Lai, Hanxiao Liu, Yiming Yang:
Learning Graph Convolution Filters from Data Manifold. CoRR abs/1710.11577 (2017) - [i1]Qizhe Xie, Guokun Lai, Zihang Dai, Eduard H. Hovy:
Large-scale Cloze Test Dataset Designed by Teachers. CoRR abs/1711.03225 (2017) - 2015
- [c2]Yongfeng Zhang, Min Zhang, Yi Zhang, Guokun Lai, Yiqun Liu, Honghui Zhang, Shaoping Ma:
Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis. WWW 2015: 1373-1383 - 2014
- [c1]Yongfeng Zhang, Guokun Lai, Min Zhang, Yi Zhang, Yiqun Liu, Shaoping Ma:
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis. SIGIR 2014: 83-92
Coauthor Index
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