Large Language Models for Data Annotation and Synthesis: A Survey

Tan, Zhen; Li, Dawei; Wang, Song; Beigi, Alimohammad; Jiang, Bohan; Bhattacharjee, Amrita; Karami, Mansooreh; Li, Jundong; Lu, Cheng; Liu, Huan

doi:10.18653/v1/2024.emnlp-main.54

articleJan 1, 2024GOLD OA

Large Language Models for Data Annotation and Synthesis: A Survey

ZTZhen Tan DLDawei Li SWSong Wang ABAlimohammad Beigi BJBohan Jiang

Indexed incrossref

Abstract

Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.

Citation impact

121

total citations

FWCI: 54.25
Percentile: 100%
References: 0

Citations per year

Authors

ZT
Zhen TanCorresponding
DL
Dawei Li
SW
Song Wang
AB
Alimohammad Beigi
BJ
Bohan Jiang

Topics & keywords

Topics

Data Quality and Management96%
Topic Modeling95%
Semantic Web and Ontologies94%

Keywords

Computer science
Annotation
Natural language processing
Data modeling
Artificial intelligence
Information retrieval
Programming language
Database

No related works found for this paper.

Funding

NS
National Science Foundation
Awards: 2229461, 2312862, IIS-2229461
UD
U.S. Department of Homeland Security
Award: 17STQAC00001-08-00
CS
Cisco Systems
NI
National Institutes of Health
OO
Office of Naval Research
Awards: N00014-21-1-4002, N00014