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Compression of Generative Pre-trained Language Models via Quantization

C. Tao, L. Hou, W. Zhang, L. Shang, X. Jiang, Q. Liu, P. Luo, and N. Wong. (2022)
DOI: 10.48550/ARXIV.2203.10705

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Tao Tao

Tao Huu Phung

Madelaine Taoubi

Christina Taouss

Xue Tao

Other publications of authors with the same name

Dynamic and Static Context-Aware LSTM for Multi-agent Motion Prediction.C. Tao, Q. Jiang, L. Duan, and P. Luo. ECCV (21), volume 12366 of Lecture Notes in Computer Science, page 547-563. Springer, (2020)D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models.Z. Wan, X. Wu, Y. Zhang, Y. Xin, C. Tao, Z. Zhu, X. Wang, S. Luo, J. Xiong, and M. Zhang. CoRR, (2024)DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference.J. Zhou, J. Wu, Y. Gao, Y. Ding, C. Tao, B. Li, F. Tu, K. Cheng, H. So, and N. Wong. CoRR, (2023)BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing.Y. Ren, R. Lin, J. Ran, C. Liu, C. Tao, Z. Wang, C. Li, and N. Wong. ASICON, page 1-4. IEEE, (2021)Structured Pruning for Efficient Generative Pre-trained Language Models.C. Tao, L. Hou, H. Bai, J. Wei, X. Jiang, Q. Liu, P. Luo, and N. Wong. ACL (Findings), page 10880-10895. Association for Computational Linguistics, (2023)LiteGT: Efficient and Lightweight Graph Transformers.C. Chen, C. Tao, and N. Wong. CIKM, page 161-170. ACM, (2021)FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations.C. Tao, R. Lin, Q. Chen, Z. Zhang, P. Luo, and N. Wong. IEEE Trans. Neural Networks Learn. Syst., 35 (2): 2640-2654 (February 2024)UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.D. Shi, C. Tao, Y. Jin, Z. Yang, C. Yuan, and J. Wang. ICML, volume 202 of Proceedings of Machine Learning Research, page 31292-31311. PMLR, (2023)Source-free domain adaptation with unrestricted source hypothesis.J. He, L. Wu, C. Tao, and F. Lv. Pattern Recognit., (2024)FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation.C. Tao, R. Lin, Q. Chen, Z. Zhang, P. Luo, and N. Wong. CoRR, (2021)

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Disambiguation of "Tao, Chaofan"

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Compression of Generative Pre-trained Language Models via Quantization

Please choose a person to relate this publication to

Tao Tao

Tao Huu Phung

Madelaine Taoubi

Christina Taouss

Xue Tao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tao, Chaofan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Compression of Generative Pre-trained Language Models via Quantization

Please choose a person to relate this publication to

Tao Tao

Tao Huu Phung

Madelaine Taoubi

Christina Taouss

Xue Tao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Compression of Generative Pre-trained Language Models via Quantization