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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Can Foundation Models Wrangle Your Data?
Avanika Narayan, Ines Chami, Laurel Orr, et al.
Proceedings of the VLDB Endowment (2022) Vol. 16, Iss. 4, pp. 738-746
Open Access | Times Cited: 57

Showing 26-50 of 57 citing articles:

Demystifying Data Management for Large Language Models
Xupeng Miao, Zhihao Jia, Bin Cui
(2024), pp. 547-555
Closed Access | Times Cited: 1
Demystifying Artificial Intelligence for Data Preparation
Chengliang Chai, Nan Tang, Ju Fan, et al.
(2023), pp. 13-20
Closed Access | Times Cited: 2
Research on the Application of Prompt Learning Pretrained Language Model in Machine Translation Task with Reinforcement Learning
C. C. Wang, Zhao Li, Tong Chen, et al.
Electronics (2023) Vol. 12, Iss. 16, pp. 3391-3391
Open Access | Times Cited: 2
Interactive Table Synthesis with Natural Language
Yanwei Huang, Yunfan Zhou, Ran Chen, et al.
IEEE Transactions on Visualization and Computer Graphics (2023) Vol. 30, Iss. 9, pp. 6130-6145
Closed Access | Times Cited: 2
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language
Mukul Singh, José Cambronero, Sumit Gulwani, et al.
Proceedings of the VLDB Endowment (2023) Vol. 17, Iss. 3, pp. 497-510
Closed Access | Times Cited: 2
Towards Efficient Data Wrangling with LLMs using Code Generation
Xue Li, Till Döhmen
(2024), pp. 62-66
Closed Access
Unstructured Data Fusion for Schema and Data Extraction
Kaiwen Chen, Nick Koudas
Proceedings of the ACM on Management of Data (2024) Vol. 2, Iss. 3, pp. 1-26
Closed Access
Directions Towards Efficient and Automated Data Wrangling with Large Language Models
Zeyu Zhang, Paul Groth, Iacer Calixto, et al.
(2024), pp. 301-304
Closed Access
LLMCompass: Enabling Efficient Hardware Design for Large Language Model Inference
Hengrui Zhang, August Ning, Rohan Baskar Prabhakar, et al.
(2024), pp. 1080-1096
Closed Access
Extended ProMap datasets for product mapping
Kateřina Macková, Martin Pilát
Electronic Commerce Research (2024)
Open Access
Bridging Domains in Chronic Lower Back Pain: Large Language Models and Ontology-Driven Strategies for Knowledge Graph Construction
Paul E. Anderson, Damon Lin, Jean M. Davidson, et al.
Lecture notes in computer science (2024), pp. 14-30
Closed Access
FELIX: Automatic and Interpretable Feature Engineering Using LLMs
Simon Malberg, E. Mosca, Georg Groh
Lecture notes in computer science (2024), pp. 230-246
Closed Access
Enriching Relations with Additional Attributes for ER
Mengyi Yan, Wenfei Fan, Yaoshu Wang, et al.
Proceedings of the VLDB Endowment (2024) Vol. 17, Iss. 11, pp. 3109-3123
Closed Access
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models
Immanuel Trummer
Proceedings of the VLDB Endowment (2024) Vol. 17, Iss. 11, pp. 3511-3523
Closed Access
On the Use of Large Language Models for Table Tasks
Yuyang Dong, Masafumi Oyamada, Chuan Xiao, et al.
(2024) Vol. 33, pp. 5518-5521
Closed Access
Enhancing Deep Entity Resolution with Integrated Blocker-Matcher Training: Balancing Consensus and Discrepancy
Wenzhou Dou, Derong Shen, Xiangmin Zhou, et al.
(2024) Vol. 1, pp. 508-518
Closed Access
Queue Management for SLO-Oriented Large Language Model Serving
Archit Patke, Dhemath Reddy, Saurabh Jha, et al.
(2024), pp. 18-35
Closed Access
Entity Matching with Large Language Models as Weak and Strong Labellers
Diarmuid O’Reilly-Morgan, Ηλίας Τράγος, Erika Duriakova, et al.
Communications in computer and information science (2024), pp. 58-67
Closed Access
Leveraging Large Language Models for Generating Labeled Mineral Site Record Linkage Data
Jiyoon Pyo, Yao‐Yi Chiang
(2024), pp. 86-98
Open Access
An in-depth analysis of pre-trained embeddings for entity resolution
Alexandros Zeakis, George Papadakis, Dimitrios Skoutas, et al.
The VLDB Journal (2024) Vol. 34, Iss. 1
Closed Access
Active in-context learning for cross-domain entity resolution
Ziheng Zhang, Weixin Zeng, Jiuyang Tang, et al.
Information Fusion (2024) Vol. 117, pp. 102816-102816
Closed Access
Large Language Models in Data Governance: Multi-source Data Tables Merging
Linfeng Li, Hong Chen, Zhijie Qiu, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 3965-3974
Closed Access
ELEET: Efficient Learned Query Execution over Text and Tables
Matthias Urban, Carsten Binnig
Proceedings of the VLDB Endowment (2024) Vol. 17, Iss. 13, pp. 4867-4880
Closed Access
Bridging Domains in Chronic Lower Back Pain: Large Language Models and Ontology-driven Strategies for Knowledge Graph Construction
Paul E. Anderson, Damon Lin, Jean M. Davidson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics

(2024)
Open Access

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