Chen, Jingchang

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

Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

Chu, Z., Chen, J., Chen, Q., Yu, W., He, T., Wang, H., Peng, W., Liu, M., Qin, B., & Liu, T. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 25

TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models

Chu, Z., Chen, J., Chen, Q., Yu, W., Wang, H., Liu, M., & Qin, B. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 20

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

Beamaggr: Beam aggregation reasoning over multi-source knowledge for multi-hop question answering

Chu, Z., Chen, J., Chen, Q., Wang, H., Zhu, K., Du, X., Yu, W., Liu, M., & Qin, B. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 11

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

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering

Chu, Z., Fan, H., Chen, J., Wang, Q., Yang, M., Liang, J., Wang, Z., Li, H., Tang, G., Liu, M., et al. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingMultimodal Machine Learning Applications

Cited by 2