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Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

H. Zhou, C. Hu, Y. Yuan, Y. Cui, Y. Jin, C. Chen, H. Wu, D. Yuan, L. Jiang, D. Wu, X. Liu, C. Zhang, X. Wang, and J. Liu. CoRR, (2024)

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Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Dagang Wu

Zongmin Wu

Weijia Wu

Hongzhong Wu

Other publications of authors with the same name

Design Editing for Offline Model-based Optimization.Y. Yuan, Y. Zhang, C. Chen, H. Wu, Z. Li, J. Li, J. Clark, and X. Liu. CoRR, (2024)Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation.C. Hu, H. Wu, X. Li, C. Ma, X. Chen, B. Wang, J. Yan, and X. Liu. ICLR, OpenReview.net, (2024)Teacher-Student Architecture for Knowledge Distillation: A Survey.C. Hu, X. Li, D. Liu, H. Wu, X. Chen, J. Wang, and X. Liu. CoRR, (2023)Knowledge-Enhanced Top-K Recommendation in Poincaré Ball.C. Ma, L. Ma, Y. Zhang, H. Wu, X. Liu, and M. Coates. AAAI, page 4285-4293. AAAI Press, (2021)Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation.C. Meng, Z. Zhao, W. Guo, Y. Zhang, H. Wu, C. Gao, D. Li, X. Li, and R. Tang. ACM Trans. Inf. Syst., 42 (1): 30:1-30:27 (January 2024)Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation.C. Meng, Z. Zhao, W. Guo, Y. Zhang, H. Wu, C. Gao, D. Li, X. Li, and R. Tang. CoRR, (2022)Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation.H. Wu, C. Ma, B. Mitra, F. Diaz, and X. Liu. CoRR, (2021)Joint Multisided Exposure Fairness for Recommendation.H. Wu, B. Mitra, C. Ma, F. Diaz, and X. Liu. SIGIR, page 703-714. ACM, (2022)Structured Entity Extraction Using Large Language Models.H. Wu, Y. Yuan, L. Mikaelyan, A. Meulemans, X. Liu, J. Hensman, and B. Mitra. CoRR, (2024)Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval.H. Wu, O. Meshi, M. Zoghi, F. Diaz, X. Liu, C. Boutilier, and M. Karimzadehgan. CoRR, (2023)

BibSonomy

Disambiguation of "Wu, Haolun"

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Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

Please choose a person to relate this publication to

Jinglan Wu

Dagang Wu

Zongmin Wu

Weijia Wu

Hongzhong Wu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wu, Haolun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

Please choose a person to relate this publication to

Jinglan Wu

Dagang Wu

Zongmin Wu

Weijia Wu

Hongzhong Wu

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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MSOffice XML

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.