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Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models.

W. Chen, X. Xu, X. Han, Y. Lin, R. Xie, Z. Liu, M. Sun, and J. Zhou. EMNLP (Findings), page 11052-11067. Association for Computational Linguistics, (2023)

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Rainer Weizel

Achim Weizel

Monika Weizenegger

Achim Weizel

Rudolf Weizel

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ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.C. Chan, W. Chen, Y. Su, J. Yu, W. Xue, S. Zhang, J. Fu, and Z. Liu. CoRR, (2023)Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning.J. Yi, W. Chen, Y. Qin, Y. Lin, N. Ding, X. Han, Z. Liu, M. Sun, and J. Zhou. CoRR, (2022)Experiential Co-Learning of Software-Developing Agents.C. Qian, Y. Dang, J. Li, W. Liu, W. Chen, C. Yang, Z. Liu, and M. Sun. CoRR, (2023)Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication.W. Chen, C. Yuan, J. Yuan, Y. Su, C. Qian, C. Yang, R. Xie, Z. Liu, and M. Sun. CoRR, (2024)GACT: Activation Compressed Training for Generic Network Architectures.X. Liu, L. Zheng, D. Wang, Y. Cen, W. Chen, X. Han, J. Chen, Z. Liu, J. Tang, J. Gonzalez and 2 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 14139-14152. PMLR, (2022)D-Bot: Database Diagnosis System using Large Language Models.X. Zhou, G. Li, Z. Sun, Z. Liu, W. Chen, J. Wu, J. Liu, R. Feng, and G. Zeng. CoRR, (2023)Tool Learning with Foundation Models.Y. Qin, S. Hu, Y. Lin, W. Chen, N. Ding, G. Cui, Z. Zeng, Y. Huang, C. Xiao, C. Han and 31 other author(s). CoRR, (2023)M3CV: A multi-subject, multi-session, and multi-task database for EEG-based biometrics challenge.G. Huang, Z. Hu, W. Chen, S. Zhang, Z. Liang, L. Li, L. Zhang, and Z. Zhang. NeuroImage, (2022)Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study.Y. Lu, Y. Ning, Y. Li, B. Zhu, J. Zhang, Y. Yang, W. Chen, Z. Yan, A. Chen, B. Shen and 4 other author(s). BMC Medical Informatics Decis. Mak., 23 (1): 173 (December 2023)Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.N. Ding, Y. Qin, G. Yang, F. Wei, Z. Yang, Y. Su, S. Hu, Y. Chen, C. Chan, W. Chen and 10 other author(s). CoRR, (2022)

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Disambiguation of "Chen, Weize"

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Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models.

Please choose a person to relate this publication to

Rainer Weizel

Achim Weizel

Monika Weizenegger

Achim Weizel

Rudolf Weizel

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Chen, Weize"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models.

Please choose a person to relate this publication to

Rainer Weizel

Achim Weizel

Monika Weizenegger

Achim Weizel

Rudolf Weizel

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
Harvard
MSOffice XML

Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models.