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Instructed Language Models with Retrievers Are Powerful Entity Linkers.

Z. Xiao, M. Gong, J. Wu, X. Zhang, L. Shou, and D. Jiang. EMNLP, page 2267-2282. Association for Computational Linguistics, (2023)

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Zhang Zhang

Meng Zhang

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

Yue Zhang

Xianghong Zhang

Miao Zhang

Other publications of authors with the same name

Knowledge Enhanced Fact Checking and Verification.B. Zhu, X. Zhang, M. Gu, and Y. Deng. IEEE ACM Trans. Audio Speech Lang. Process., (2021)Characterizing, modeling, and improving the QoE of mobile devices with low battery level.K. Yan, X. Zhang, and X. Fu. MICRO, page 713-724. ACM, (2015)Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving.Q. Wan, H. Xia, X. Zhang, L. Wang, S. Song, and X. Fu. MICRO, page 885-897. ACM, (2021)Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency.Z. Xiao, L. Shou, X. Zhang, J. Wu, M. Gong, and D. Jiang. EMNLP (Findings), page 7480-7492. Association for Computational Linguistics, (2023)Instructed Language Models with Retrievers Are Powerful Entity Linkers.Z. Xiao, M. Gong, J. Wu, X. Zhang, L. Shou, J. Pei, and D. Jiang. CoRR, (2023)MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.X. Tang, A. Zou, Z. Zhang, Y. Zhao, X. Zhang, A. Cohan, and M. Gerstein. CoRR, (2023)Toward Customized Hybrid Fuel-Cell and Battery-powered Mobile Device for Individual Users.K. Yan, J. Tan, L. Liu, X. Zhang, S. Brankovic, J. Chen, and X. Fu. ACM Trans. Embed. Comput. Syst., 18 (6): 123:1-123:20 (2020)Patient-Trial Matching with Deep Embedding and Entailment Prediction.X. Zhang, C. Xiao, L. Glass, and J. Sun. WWW, page 1029-1037. ACM / IW3C2, (2020)Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design.X. Zhang, S. Song, C. Xie, J. Wang, W. Zhang, and X. Fu. HPCA, page 542-555. IEEE, (2020)Redefining QoS and customizing the power management policy to satisfy individual mobile users.K. Yan, X. Zhang, J. Tan, and X. Fu. MICRO, page 53:1-53:12. IEEE Computer Society, (2016)

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Disambiguation of "Zhang, Xingyao"

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Instructed Language Models with Retrievers Are Powerful Entity Linkers.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Yue Zhang

Xianghong Zhang

Miao Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Xingyao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Instructed Language Models with Retrievers Are Powerful Entity Linkers.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Yue Zhang

Xianghong Zhang

Miao 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
Harvard
MSOffice XML

Instructed Language Models with Retrievers Are Powerful Entity Linkers.