Explicit factor models for explainable recommendation based on phrase-level sentiment analysis. - Yongfeng Zhang; Guokun Lai; Min Zhang 006; Yi Zhang 001; Yiqun Liu 001; Shaoping Ma (SIGIR, 2014)

Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis. - Yongfeng Zhang; Min Zhang 006; Yi Zhang 001; Guokun Lai; Yiqun Liu 001; Honghui Zhang; Shaoping Ma (WWW, 2015)

RACE: Large-scale ReAding Comprehension Dataset From Examinations. - Guokun Lai; Qizhe Xie; Hanxiao Liu; Yiming Yang; Eduard H. Hovy (EMNLP, 2017)

Learning Graph Convolution Filters from Data Manifold. - Guokun Lai; Hanxiao Liu; Yiming Yang (CoRR, 2017)

Large-scale Cloze Test Dataset Designed by Teachers. - Qizhe Xie; Guokun Lai; Zihang Dai; Eduard H. Hovy (CoRR, 2017)

Large-scale Cloze Test Dataset Created by Teachers. - Qizhe Xie; Guokun Lai; Zihang Dai; Eduard H. Hovy (EMNLP, 2018)

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. - Guokun Lai; Wei-Cheng Chang; Yiming Yang; Hanxiao Liu (SIGIR, 2018)

Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data. - Guokun Lai; Bohan Li; Guoqing Zheng; Yiming Yang (CoRR, 2018)

Re-examination of the Role of Latent Variables in Sequence Modeling. - Guokun Lai; Zihang Dai; Yiming Yang; Shinjae Yoo (NeurIPS, 2019)

Bridging the domain gap in cross-lingual document classification. - Guokun Lai; Barlas Oguz; Yiming Yang; Veselin Stoyanov (CoRR, 2019)

Correlation-Aware Change-Point Detection via Graph Neural Networks. - Ruohong Zhang; Yu Hao; Donghan Yu; Wei-Cheng Chang; Guokun Lai; Yiming Yang (ICONIP (3), 2020)

Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing. - Zihang Dai; Guokun Lai; Yiming Yang; Quoc Le 001 (NeurIPS, 2020)

Explainable Unsupervised Change-point Detection via Graph Neural Networks. - Ruohong Zhang; Yu Hao; Donghan Yu; Wei-Cheng Chang; Guokun Lai; Yiming Yang (CoRR, 2020)

Unsupervised Parallel Corpus Mining on Web Data. - Guokun Lai; Zihang Dai; Yiming Yang (CoRR, 2020)

A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest. - Ruohong Zhang; Luyu Gao; Chen Zheng; Zhen Fan 003; Guokun Lai; Zheng Zhang; Fangzhou Ai; Yiming Yang; Hongxia Yang (CoRR, 2023)

Kimi k1.5: Scaling Reinforcement Learning with LLMs. - Kimi Team; Angang Du; Bofei Gao; Bowei Xing; Changjiu Jiang; Cheng Chen; Cheng Li; Chenjun Xiao; Chenzhuang Du; Chonghua Liao; Chuning Tang; Congcong Wang; et al. (CoRR, 2025)

MoBA: Mixture of Block Attention for Long-Context LLMs. - Enzhe Lu; Zhejun Jiang; Jingyuan Liu; Yulun Du; Tao Jiang; Chao Hong; Shaowei Liu; Weiran He; Enming Yuan; Yuzhi Wang; Zhiqi Huang; Huan Yuan; et al. (CoRR, 2025)

Muon is Scalable for LLM Training. - Jingyuan Liu; Jianlin Su; Xingcheng Yao; Zhejun Jiang; Guokun Lai; Yulun Du; Yidao Qin; Weixin Xu; Enzhe Lu; Junjie Yan; Yanru Chen; Huabin Zheng; et al. (CoRR, 2025)

Kimi-VL Technical Report. - Angang Du; Bohong Yin; Bowei Xing; Bowen Qu; Bowen Wang; Cheng Chen; Chenlin Zhang; Chenzhuang Du; Chu Wei; Congcong Wang; Dehao Zhang; Dikang Du; et al. (CoRR, 2025)

Kimi-Audio Technical Report. - KimiTeam; Ding Ding; Zeqian Ju; Yichong Leng; Songxiang Liu; Tong Liu; Zeyu Shang; Kai Shen; Wei Song; Xu Tan 003; Heyi Tang; Zhengtao Wang; et al. (CoRR, 2025)

Kimi K2: Open Agentic Intelligence. - Yifan Bai; Yiping Bao; Guanduo Chen; Jiahao Chen; Ningxin Chen; Ruijue Chen; Yanru Chen; Yuankun Chen; Yutian Chen; Zhuofu Chen; Jialei Cui; Hao Ding; et al. (CoRR, 2025)