Zhou, Shangyan

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

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

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Cheng, X., Tian, R., Zeng, W., Dai, D., Chen, Q., Wang, B., Xie, Z., Huang, K., Yu, X., Deng, C., et al. (2026) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 21

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

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