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DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

X. Bi, D. Chen, G. Chen, S. Chen, D. Dai, C. Deng, H. Ding, K. Dong, Q. Du, Z. Fu, H. Gao, K. Gao, W. Gao, R. Ge, K. Guan, D. Guo, J. Guo, G. Hao, Z. Hao, Y. He, W. Hu, P. Huang, E. Li, G. Li, J. Li, Y. Li, Y. Li, W. Liang, F. Lin, A. Liu, B. Liu, W. Liu, X. Liu, X. Liu, Y. Liu, H. Lu, S. Lu, F. Luo, S. Ma, X. Nie, T. Pei, Y. Piao, J. Qiu, H. Qu, T. Ren, Z. Ren, C. Ruan, Z. Sha, Z. Shao, J. Song, X. Su, J. Sun, Y. Sun, M. Tang, B. Wang, P. Wang, S. Wang, Y. Wang, Y. Wang, T. Wu, Y. Wu, X. Xie, Z. Xie, Z. Xie, Y. Xiong, H. Xu, R. Xu, Y. Xu, D. Yang, Y. You, S. Yu, X. Yu, B. Zhang, H. Zhang, L. Zhang, L. Zhang, M. Zhang, M. Zhang, W. Zhang, Y. Zhang, C. Zhao, Y. Zhao, S. Zhou, S. Zhou, Q. Zhu, and Y. Zou. CoRR, (2024)

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Ling Ren

Jun Ren

Xinguo Ren

Xiaofeng Ren

Zhongliang Ren

Other publications of authors with the same name

Function Space Particle Optimization for Bayesian Neural Networks.Z. Wang, T. Ren, J. Zhu, and B. Zhang. ICLR (Poster), OpenReview.net, (2019)Hierarchical Sliced Wasserstein Distance.K. Nguyen, T. Ren, H. Nguyen, L. Rout, T. Nguyen, and N. Ho. CoRR, (2022)Hierarchical Sliced Wasserstein Distance.K. Nguyen, T. Ren, H. Nguyen, L. Rout, T. Nguyen, and N. Ho. ICLR, OpenReview.net, (2023)Spectral Decomposition Representation for Reinforcement Learning.T. Ren, T. Zhang, L. Lee, J. Gonzalez, D. Schuurmans, and B. Dai. ICLR, OpenReview.net, (2023)Latent Variable Representation for Reinforcement Learning.T. Ren, C. Xiao, T. Zhang, N. Li, Z. Wang, S. Sanghavi, D. Schuurmans, and B. Dai. ICLR, OpenReview.net, (2023)Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent.T. Ren, F. Cui, A. Atsidakou, S. Sanghavi, and N. Ho. AISTATS, volume 151 of Proceedings of Machine Learning Research, page 3930-3961. PMLR, (2022)Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information.Y. Zhou, T. Ren, J. Li, D. Yan, and J. Zhu. ICLR, OpenReview.net, (2020)Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning.H. Zhang, T. Ren, C. Xiao, D. Schuurmans, and B. Dai. CoRR, (2023)A free lunch from the noise: Provable and practical exploration for representation learning.T. Ren, T. Zhang, C. Szepesvári, and B. Dai. UAI, volume 180 of Proceedings of Machine Learning Research, page 1686-1696. PMLR, (2022)Energy-based Predictive Representations for Partially Observed Reinforcement Learning.T. Zhang, T. Ren, C. Xiao, W. Xiao, J. Gonzalez, D. Schuurmans, and B. Dai. UAI, volume 216 of Proceedings of Machine Learning Research, page 2477-2487. PMLR, (2023)

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Disambiguation of "Ren, Tongzheng"

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DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Please choose a person to relate this publication to

Ling Ren

Jun Ren

Xinguo Ren

Xiaofeng Ren

Zhongliang Ren

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ren, Tongzheng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Please choose a person to relate this publication to

Ling Ren

Jun Ren

Xinguo Ren

Xiaofeng Ren

Zhongliang Ren

Other publications of authors with the same name

Disambiguation

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URL
DOI
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DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.