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:

Leveraging GPT-4 for Automatic Translation Post-Editing
Vikas Raunak, Amr Sharaf, Yiren Wang, et al.
(2023)
Open Access | Times Cited: 14

Showing 14 citing articles:

A survey of GPT-3 family large language models including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
Natural Language Processing Journal (2023) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 129

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 65

Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies
Liangming Pan, Michael Saxon, Wenda Xu, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 484-506
Open Access | Times Cited: 19

HW-TSC’s Submission to the CCMT 2024 Machine Translation Tasks
Zhanglin Wu, Yuanchang Luo, Daimeng Wei, et al.
Communications in computer and information science (2025), pp. 128-140
Closed Access

The Diagnosis of Typical Medical Cases Through Optimized Fine-Tuning of Large Language Models
Haixin Liu, Jinwang Song, Lulu Kong, et al.
Communications in computer and information science (2025), pp. 166-176
Closed Access

GPT and Translation: A Systematic Review
Venus Chan, William Ko-Wai Tang
(2024), pp. 59-63
Closed Access | Times Cited: 2

Em direção a um sistema de justiça criminal digitalizado: exemplo da Polônia
Andrzej Sakowicz, Sebastian Zieliński
Revista Brasileira de Direito Processual Penal (2024) Vol. 10, Iss. 2
Open Access | Times Cited: 1

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1417-1440
Open Access | Times Cited: 1

An Empirical Study of Translation Hypothesis Ensembling with Large Language Models
António Farinhas, José G. C. de Souza, André F. T. Martins
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 11956-11970
Open Access | Times Cited: 2

Pre‐trainedlanguage models: What do they know?
Nuno Guimar�ães, Ricardo Campos, Alí­pio Jorge
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 14, Iss. 1
Closed Access | Times Cited: 1

Improving Automatic Post-editing with Error Prompts Extracted from Quality Estimation
Menglong Xu, Yanliang Zhang
Lecture notes in computer science (2024), pp. 304-313
Closed Access

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