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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:

Mitigating Language-Dependent Ethnic Bias in BERT
Jaimeen Ahn, Alice Oh
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Marketing with ChatGPT: Navigating the Ethical Terrain of GPT-Based Chatbot Technology
Pablo Rivas, Zhao Liang
AI (2023) Vol. 4, Iss. 2, pp. 375-384
Open Access | Times Cited: 125
Biases in Large Language Models: Origins, Inventory, and Discussion
Roberto Navigli, Simone Conia, Björn Roß
Journal of Data and Information Quality (2023) Vol. 15, Iss. 2, pp. 1-21
Open Access | Times Cited: 117
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: 86
Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry
Leda Tortora
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 18
Dynamics of Scope Ambiguities: Comparative Analysis of Human and GPT Model Performance in Korean
Myung Hye Yoo, Sanghoun Song
(2025)
Closed Access
Detecting Bias in Large Language Models: Fine-Tuned KcBERT
J. K. Lee, Tai‐Myoung Chung
Lecture notes in computer science (2025), pp. 76-90
Closed Access
A survey on multilingual large language models: corpora, alignment, and bias
Yuemei Xu, Ling Hu, Jiayi Zhao, et al.
Frontiers of Computer Science (2025) Vol. 19, Iss. 11
Open Access
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
Cultural Bias in Large Language Models: A Comprehensive Analysis and Mitigation Strategies
Z Y Liu
Journal of Transcultural Communication (2024)
Closed Access | Times Cited: 3
Question-based computational language approach outperforms rating scales in quantifying emotional states
Sverker Sikström, Ieva Valavičiūtė, Inari Kuusela, et al.
Communications Psychology (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 2
Generative language models exhibit social identity biases
Tiancheng Hu, Yara Kyrychenko, Steve Rathje, et al.
Nature Computational Science (2024)
Open Access | Times Cited: 2
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias
K. Anoop, Manjary P. Gangan, P Deepak, et al.
Lecture notes in electrical engineering (2022), pp. 13-45
Open Access | Times Cited: 9
Can language representation models think in bets?
Zhisheng Tang, Mayank Kejriwal
Royal Society Open Science (2023) Vol. 10, Iss. 3
Open Access | Times Cited: 5
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
Sharon Levy, Neha Anna John, Ling Liu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 10260-10280
Open Access | Times Cited: 5
Power of Explanations: Towards automatic debiasing in hate speech detection
Yi Cai, Arthur Zimek, Gerhard Wunder, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2022)
Open Access | Times Cited: 8
Bridging Fairness and Environmental Sustainability in Natural Language Processing
Marius Hessenthaler, Emma Strubell, Dirk Hovy, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 7817-7836
Open Access | Times Cited: 8
Values That Are Explicitly Present in Fairy Tales: Comparing Samples from German, Italian and Portuguese Traditions
Alba Morollón Díaz-Faes, Carla Murteira, Martin Ruskov
Journal of Data Mining & Digital Humanities (2024) Vol. NLP4DH
Open Access | Times Cited: 1
Geographic and Geopolitical Biases of Language Models
Fahim Faisal, Antonios Anastasopoulos
(2023)
Open Access | Times Cited: 3
This prompt is measuring <mask>: evaluating bias evaluation in language models
Seraphina Goldfarb-Tarrant, Eddie L. Ungless, Esma Balkır, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 2
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
Sabit Hassan, Malihe Alikhani
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 2
Evaluating and Improving Value Judgments in AI: A Scenario-Based Study on Large Language Models’ Depiction of Social Conventions
Jaeyoun You, Bongwon Suh
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 1727-1739
Open Access
What Is Your Favorite Gender, MLM? Gender Bias Evaluation in Multilingual Masked Language Models
Jeongrok Yu, Seong Ug Kim, Jacob Choi, et al.
Information (2024) Vol. 15, Iss. 9, pp. 549-549
Open Access
Regional Bias in Monolingual English Language Models
Jiachen Lyu, Katharina Dost, Yun Sing Koh, et al.
Research Square (Research Square) (2024)
Open Access
Using word embeddings for immigrant and refugee stereotype quantification in a diachronic and multilingual setting
Danielly Sorato, Martin Lundsteen, Carme Colominas Ventura, et al.
Journal of Computational Social Science (2024) Vol. 7, Iss. 1, pp. 469-521
Open Access
Evaluating Nuanced Bias in Large Language Model Free Response Answers
Jennifer Healey, Laurie Byrum, Md. Nadeem Akhtar, et al.
Lecture notes in computer science (2024), pp. 378-391
Closed Access
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