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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:

The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.
(2023), pp. 1066-1083
Open Access | Times Cited: 17

Showing 17 citing articles:

Findings of the WMT 2023 Shared Task on Quality Estimation
Frédéric Blain, Chrysoula Zerva, Ricardo Ribeiro, et al.
(2023), pp. 629-653
Open Access | Times Cited: 81
Foundation and large language models: fundamentals, challenges, opportunities, and social impacts
Devon Myers, Rami Mohawesh, Venkata Ishwarya Chellaboina, et al.
Cluster Computing (2023) Vol. 27, Iss. 1, pp. 1-26
Closed Access | Times Cited: 56
Exploring Human-Like Translation Strategy with Large Language Models
Zhiwei He, Tian Liang, Wenxiang Jiao, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 229-246
Open Access | Times Cited: 17
xcomet : Transparent Machine Translation Evaluation through Fine-grained Error Detection
Ricardo Rei, Ricardo Rei, Daan van Stigt, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 979-995
Open Access | Times Cited: 5
Proposal for a Triple Bottom Line for Translation Automation and Sustainability
Joss Moorkens, Sheila Castilho, Federico Gaspari, et al.
Deleted Journal (2024), Iss. 41, pp. 2-25
Open Access | Times Cited: 4
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics
Christoph Leiter, Juri Opitz, Daniel Deutsch, et al.
(2023), pp. 117-138
Open Access | Times Cited: 11
Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task
Ricardo Rei, Nuno M. Guerreiro, José Pombal, et al.
(2023), pp. 841-848
Open Access | Times Cited: 10
Large Language Model Instruction Following: A Survey of Progresses and Challenges
Renze Lou, Kai Zhang, Wenpeng Yin
Computational Linguistics (2024), pp. 1-43
Open Access | Times Cited: 3
Lost in Translation? Found in Evaluation: A Comprehensive Survey on Sentence-Level Translation Evaluation
Anshuman Mukherjee, Manish Shrivastava
ACM Computing Surveys (2025)
Closed Access
GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4
Tom Kocmi, Christian Federmann
(2023), pp. 768-775
Open Access | Times Cited: 7
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level
Daniel Deutsch, Juraj Juraska, Mara Finkelstein, et al.
(2023), pp. 996-1013
Open Access | Times Cited: 7
A survey of context in neural machine translation and its evaluation
Sheila Castilho, Rebecca Knowles
Natural language processing. (2024), pp. 1-31
Open Access | Times Cited: 2
Which is better? Exploring Prompting Strategy For LLM-based Metrics
JoongHoon Kim, Sangmin Lee, Seung Hun Han, et al.
(2023), pp. 164-183
Open Access | Times Cited: 5
MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task
Juraj Juraska, Mara Finkelstein, Daniel Deutsch, et al.
(2023), pp. 756-767
Open Access | Times Cited: 4
Reference-Free Summarization Evaluation with Large Language Models
Abbas Akkasi, Kathleen Fraser, Majid Komeili
(2023)
Open Access | Times Cited: 3
Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation
Daniil Larionov, Vasiliy Viskov, George Kokush, et al.
(2023), pp. 228-234
Open Access | Times Cited: 1
Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?
Sweta Agrawal, M. Amin Farajian, Patrick Fernandes, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1250-1267
Open Access
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