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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:

Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts
Yue Guo, Yi Yang, Ahmed Abbasi
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Bias and Fairness in Large Language Models: A Survey
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.
Computational Linguistics (2024) Vol. 50, Iss. 3, pp. 1097-1179
Open Access | Times Cited: 108
A Comparative Analysis to Evaluate Bias and Fairness Across Large Language Models with Benchmarks
陳文意, 黃兆明
(2024)
Open Access | Times Cited: 20
Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models
Zichao Lin, Shuyan Guan, Wending Zhang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 19
Benchmarking Intersectional Biases in NLP
John Lalor, Yi Yang, Kendall A. Smith, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 40
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines
John P. Lalor, Ahmed Abbasi, Kezia Oketch, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 4, pp. 1-41
Closed Access | Times Cited: 12
Fairness in Large Language Models: A Taxonomic Survey
Zhibo Chu, Zichong Wang, Wenbin Zhang
ACM SIGKDD Explorations Newsletter (2024) Vol. 26, Iss. 1, pp. 34-48
Open Access | Times Cited: 12
Efficient utilization of pre-trained models: A review of sentiment analysis via prompt learning
Kun Bu, Yuanchao Liu, Xiaolong Ju
Knowledge-Based Systems (2023) Vol. 283, pp. 111148-111148
Closed Access | Times Cited: 22
Unlearning Bias in Language Models by Partitioning Gradients
Charles Yu, Sullam Jeoung, Anish Kasi, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 16
Survey on Machine Learning Biases and Mitigation Techniques
Sunzida Siddique, Mohd Ariful Haque, Roy George, et al.
Digital (2023) Vol. 4, Iss. 1, pp. 1-68
Open Access | Times Cited: 16
ADEPT: A DEbiasing PrompT Framework
Ke Yang, Charles Yu, Yi Fung, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 10780-10788
Open Access | Times Cited: 14
The next generation of machine learning for tracking adaptation texts
Anne J. Sietsma, James D. Ford, Jan C. Minx
Nature Climate Change (2023) Vol. 14, Iss. 1, pp. 31-39
Closed Access | Times Cited: 14
Towards fair decision: A novel representation method for debiasing pre-trained models
Junheng He, Nankai Lin, Qifeng Bai, et al.
Decision Support Systems (2024) Vol. 181, pp. 114208-114208
Closed Access | Times Cited: 5
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models
Zhongbin Xie, Thomas Lukasiewicz
(2023)
Open Access | Times Cited: 13
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs
Marialena Bevilacqua, Kezia Oketch, Ruiyang Qin, et al.
ACM transactions on office information systems (2024)
Open Access | Times Cited: 4
Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model
Ali Omrani, Alireza S. Ziabari, Charles Yu, et al.
(2023)
Open Access | Times Cited: 11
Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science
Magnus Gray, Ravi K. Samala, Qi Liu, et al.
Clinical Pharmacology & Therapeutics (2023) Vol. 115, Iss. 4, pp. 687-697
Open Access | Times Cited: 10
LLMs and Their Applications in Medical Artificial Intelligence
Wenji Mao, Xipeng Qiu, Ahmed Abbasi
ACM Transactions on Management Information Systems (2025)
Open Access
Schema-tune: noise-driven bias mitigation in transformer-based language models
Omid Shokrollahi, Ruthvik Penumatcha, Faezeh Ensan, et al.
Machine Learning (2025) Vol. 114, Iss. 3
Closed Access
Advancing Ophthalmology With Large Language Models: Applications, Challenges, and Future Directions
Qi Zhang, Shaopan Wang, Xu Wang, et al.
Survey of Ophthalmology (2025)
Closed Access
Assessing the feasibility of large language models to identify top research priorities in enhanced external counterpulsation
Shengkun Gai, Fangwan Huang, Xuanyun Liu, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0305442-e0305442
Open Access
AdaFT: An efficient domain-adaptive fine-tuning framework for sentiment analysis in chinese financial texts
Guofeng Yan, Kuashuai Peng, Yongfeng Wang, et al.
Applied Intelligence (2025) Vol. 55, Iss. 7
Closed Access
COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models
Priyanshul Govil, Hemang Jain, Vamshi Bonagiri, et al.
(2025), pp. 460-471
Closed Access
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Deepak Kumar, Oleg Lesota, George Zerveas, et al.
(2023)
Open Access | Times Cited: 9
Prompts De-Biasing Augmentation to Mitigate Gender Stereotypes in Large Language Models
B. Chen, Sebastian Binnewies, Bela Stantić
Lecture notes in computer science (2025), pp. 257-270
Closed Access
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks
Lukas Hauzenberger, Shahed Masoudian, Deepak Kumar, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 7
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