Li, Y. K.

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

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DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence

Guo, D., Zhu, Q., Yang, D., Xie, Z., Dong, K., Zhang, W., Chen, G., Bi, X., Wu, Y., Li, Y. K., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

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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

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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

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LLM-Driven Corrective Robot Operation Code Generation with Static Text-Based Simulation

Wang, W., Rong, Y., Li, Y., Jiao, L., & Yuan, J. (2025) · arXiv

AI-based Problem Solving and PlanningRobot Manipulation and Learning

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