Author of the publication

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

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study.

Y. Sui, M. Zhou, M. Zhou, S. Han, and D. Zhang. WSDM, page 645-654. ACM, (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Mengyu Huang

Zhou Zhou

Yayun Zhou

Rui Zhou

Other publications of authors with the same name

Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data.M. Zhou, W. Tao, P. Ji, H. Shi, and D. Zhang. AAAI, page 320-328. AAAI Press, (2020)ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization.L. Li, T. Li, X. He, M. Zhou, S. Han, and D. Zhang. CoRR, (2022)MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation.A. Wu, Y. Wang, M. Zhou, X. He, H. Zhang, H. Qu, and D. Zhang. CoRR, (2021)FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information.Y. Shao, M. Zhou, Y. Zhong, T. Wu, H. Han, S. Han, G. Huang, and D. Zhang. EMNLP, page 8133-8149. Association for Computational Linguistics, (2022)A lightweight segmentation network for endoscopic surgical instruments based on edge refinement and efficient self-attention.M. Zhou, X. Han, Z. Liu, Y. Chen, and L. Sun. PeerJ Comput. Sci., (2023)MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation.A. Wu, Y. Wang, M. Zhou, X. He, H. Zhang, H. Qu, and D. Zhang. IEEE Trans. Vis. Comput. Graph., 28 (1): 162-172 (2022)Evaluating and Enhancing Structural Understanding Capabilities of Large Language Models on Tables via Input Designs.Y. Sui, M. Zhou, M. Zhou, S. Han, and D. Zhang. CoRR, (2023)MinHash hierarchy for privacy preserving trajectory sensing and query.J. Ding, C. Ni, M. Zhou, and J. Gao. IPSN, page 17-28. ACM, (2017)Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study.Y. Sui, M. Zhou, M. Zhou, S. Han, and D. Zhang. WSDM, page 645-654. ACM, (2024)Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries.X. He, M. Zhou, X. Xu, X. Ma, R. Ding, L. Du, Y. Gao, R. Jia, X. Chen, S. Han and 2 other author(s). AAAI, page 18206-18215. AAAI Press, (2024)

BibSonomy

Disambiguation of "Zhou, Mengyu"

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

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study.

Please choose a person to relate this publication to

Mengyu Huang

Zhou Zhou

Zhou Zhou

Yayun Zhou

Rui Zhou

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhou, Mengyu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study.

Please choose a person to relate this publication to

Mengyu Huang

Zhou Zhou

Zhou Zhou

Yayun Zhou

Rui Zhou

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

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study.