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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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Linjun Yan

Qing Shou

Lin Shou

Shuning Shou

Yanbo Shou

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Large Language Models are Diverse Role-Players for Summarization Evaluation.N. Wu, M. Gong, L. Shou, S. Liang, and D. Jiang. NLPCC (1), volume 14302 of Lecture Notes in Computer Science, page 695-707. Springer, (2023)NeuronBlocks: Building Your NLP DNN Models Like Playing Lego.M. Gong, L. Shou, W. Lin, Z. Sang, Q. Yan, Z. Yang, F. Cheng, and D. Jiang. EMNLP/IJCNLP (3), page 163-168. Association for Computational Linguistics, (2019)Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding.Y. Guo, L. Shou, J. Pei, M. Gong, M. Xu, Z. Wu, and D. Jiang. EMNLP (1), page 3226-3237. Association for Computational Linguistics, (2021)Pre-training Text Representations as Meta Learning.S. Lv, Y. Wang, D. Guo, D. Tang, N. Duan, F. Zhu, M. Gong, L. Shou, R. Ma, D. Jiang and 3 other author(s). CoRR, (2020)Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation.J. Zhuo, J. Lian, L. Xu, M. Gong, L. Shou, D. Jiang, X. Xie, and Y. Yue. CIKM, page 2806-2816. ACM, (2022)WIERT: Web Information Extraction via Render Tree.Z. Li, B. Shao, L. Shou, M. Gong, G. Li, and D. Jiang. AAAI, page 13166-13173. AAAI Press, (2023)Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation.J. Liu, L. Shou, J. Pei, M. Gong, M. Yang, and D. Jiang. COLING, page 2710-2721. International Committee on Computational Linguistics, (2020)Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval.S. Zhuang, L. Shou, J. Pei, M. Gong, H. Ren, G. Zuccon, and D. Jiang. SIGIR-AP, page 212-222. ACM, (2023)Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets.W. Lin, L. Shou, M. Gong, J. Pei, Z. Wang, B. Byrne, and D. Jiang. KaRS@RecSys, volume 3294 of CEUR Workshop Proceedings, page 45-52. CEUR-WS.org, (2022)Bridge the Gap between Language models and Tabular Understanding.N. Chen, L. Shou, M. Gong, J. Pei, C. You, J. Chang, D. Jiang, and J. Li. CoRR, (2023)

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Disambiguation of "Shou, Linjun"

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Instructed Language Models with Retrievers Are Powerful Entity Linkers.

Please choose a person to relate this publication to

Linjun Yan

Qing Shou

Lin Shou

Shuning Shou

Yanbo Shou

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shou, Linjun"

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

Linjun Yan

Qing Shou

Lin Shou

Shuning Shou

Yanbo Shou

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Instructed Language Models with Retrievers Are Powerful Entity Linkers.