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Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs.

S. Ge, Y. Zhang, L. Liu, M. Zhang, J. Han, and J. Gao. CoRR, (2023)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Ning Zhang

Gang Zhang

Yue Zhang

Other publications of authors with the same name

XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient.X. Wu, Z. Yao, M. Zhang, C. Li, and Y. He. NeurIPS, (2022)iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures.Z. Peng, M. Zhang, K. Li, R. Jin, and B. Ren. PPoPP, page 313-328. ACM, (2023)DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale.S. Rajbhandari, C. Li, Z. Yao, M. Zhang, R. Aminabadi, A. Awan, J. Rasley, and Y. He. ICML, volume 162 of Proceedings of Machine Learning Research, page 18332-18346. PMLR, (2022)Hybridizing and Relaxing Dependence Tracking for Efficient Parallel Runtime Support.M. Cao, M. Zhang, A. Sengupta, S. Biswas, and M. Bond. ACM Trans. Parallel Comput., 4 (2): 9:1-9:42 (2017)FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients.M. Zhang, F. Yu, Y. Yu, M. Zhang, A. Li, and X. Chen. CoRR, (2023)UltraEdit: Instruction-based Fine-Grained Image Editing at Scale.H. Zhao, X. Ma, L. Chen, S. Si, R. Wu, K. An, P. Yu, M. Zhang, Q. Li, and B. Chang. CoRR, (2024)Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native.Y. Lu, S. Bian, L. Chen, Y. He, Y. Hui, M. Lentz, B. Li, F. Liu, J. Li, Q. Liu and 12 other author(s). CoRR, (2024)DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer ModelsS. Jacobs, M. Tanaka, C. Zhang, M. Zhang, S. Song, S. Rajbhandari, and Y. He. (2023)Revisiting the Efficiency-Accuracy Tradeoff in Adapting Transformer Models via Adversarial Fine-Tuning.M. Zhang, U. Niranjan, and Y. He. ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 3026-3033. IOS Press, (2023)Cost-effective On-device Continual Learning over Memory Hierarchy with Miro.X. Ma, S. Jeong, M. Zhang, D. Wang, J. Choi, and M. Jeon. MobiCom, page 83:1-83:15. ACM, (2023)

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Disambiguation of "Zhang, Minjia"

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Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Ning Zhang

Gang Zhang

Yue Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Minjia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Ning Zhang

Gang Zhang

Yue Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs.