Lai, Guokun

RACE: Large-scale ReAding Comprehension Dataset From Examinations

Lai, G., Xie, Q., Liu, H., Yang, Y., & Hovy, E. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Topic ModelingReading and Literacy Development

Cited by 1,044

Kimi K2: Open Agentic Intelligence

Kimi Team, Bai, Y., Bao, Y., Charles, Y., Chen, C., Chen, G., Chen, H., Chen, H., Chen, J., Chen, N., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Kimi k1.5: Scaling Reinforcement Learning with LLMs

Kimi Team, Du, A., Gao, B., Xing, B., Jiang, C., Chen, C., Li, C., Xiao, C., Du, C., Liao, C., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 12

Muon is scalable for llm training

Liu, J., Su, J., Yao, X., Jiang, Z., Lai, G., Du, Y., Qin, Y., Xu, W., Lu, E., Yan, J., et al. (2025) · arXiv

Stochastic Gradient Optimization TechniquesTopic Modeling

Cited by 2

Kimi Linear: An Expressive, Efficient Attention Architecture

Kimi Team, Zhang, Y., Lin, Z., Yao, X., Hu, J., Meng, F., Liu, C., Men, X., Yang, S., Li, Z., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Kimi K3: Open Frontier Intelligence

Kimi Team, Bai, T., Bai, Y., Bao, Y., C., M., Cai, J., Cai, X., Cao, P., Cao, Y., Chai, Z., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0