Gao, Huazuo

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

Guo, D., Yang, D., Zhang, H., Song, J., Wang, P., Zhu, Q., Xu, R., Zhang, R., Ma, S., Bi, X., et al. (2025) · Nature

Topic ModelingNatural Language Processing Techniques

Cited by 1,701

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

DeepSeek-AI, Guo, D., Yang, D., Zhang, H., Song, J., Wang, P., Zhu, Q., Xu, R., Zhang, R., Ma, S., et al. (2025) · arXiv

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 538

DeepSeek-V3 Technical Report

DeepSeek-AI, Liu, A., Feng, B., Xue, B., Wang, B., Wu, B., Lu, C., Zhao, C., Deng, C., Zhang, C., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 294

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Dai, D., Deng, C., Zhao, C., Xu, R. X., Gao, H., Chen, D., Li, J., Zeng, W., Yu, X., Wu, Y., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 291

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

DeepSeek-AI, :, Bi, X., Chen, D., Chen, G., Chen, S., Dai, D., Deng, C., Ding, H., Dong, K., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 99

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

DeepSeek-AI, Zhu, Q., Guo, D., Shao, Z., Yang, D., Wang, P., Xu, R., Wu, Y., Li, Y., Gao, H., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 51

DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

DeepSeek-AI, Liu, A., Mei, A., Lin, B., Xue, B., Wang, B., Xu, B., Wu, B., Zhang, B., Lin, C., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 19

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Dai, D., Deng, C., Zhao, C., Xu, R. X., Gao, H., Chen, D., Li, J., Zeng, W., Yu, X., Wu, Y., et al. (2024) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 18

Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts

Wang, L., Gao, H., Zhao, C., Sun, X., & Dai, D. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 11

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Yuan, J., Gao, H., Dai, D., Luo, J., Zhao, L., Zhang, Z., Xie, Z., Wei, Y. X., Wang, L., Xiao, Z., et al. (2025) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 4

DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

DeepSeek-AI, Xu, A., Lin, B., Xue, B., Wang, B., Xu, B., Wu, B., Zhang, B., Lin, C., Dong, C., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

mHC: Manifold-Constrained Hyper-Connections

Xie, Z., Wei, Y., Cao, H., Zhao, C., Deng, C., Li, J., Dai, D., Gao, H., Chang, J., Yu, K., et al. (2025) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 0