Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Gender Bias in Masked Language Models for Multiple Languages
Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 2740-2750
Open Access | Times Cited: 22

Showing 22 citing articles:

Fairness in Language Models Beyond English: Gaps and Challenges
Krithika Ramesh, Sunayana Sitaram, Monojit Choudhury
(2023)
Open Access | Times Cited: 18
Recognizing misogynous memes: Biased models and tricky archetypes
Giulia Rizzi, Francesca Gasparini, Aurora Saibene, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103474-103474
Open Access | Times Cited: 10
Gender bias in transformers: A comprehensive review of detection and mitigation strategies
Praneeth Nemani, Yericherla Deepak Joel, Palla Vijay, et al.
Natural Language Processing Journal (2023) Vol. 6, pp. 100047-100047
Open Access | Times Cited: 9
Multi3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue
Nikita Moghe, Evgeniia Razumovskaia, Liane Guillou, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 3732-3755
Open Access | Times Cited: 6
Quantifying gender bias towards politicians in cross-lingual language models
Karolina Stańczak, Sagnik Ray Choudhury, Tiago Pimentel, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0277640-e0277640
Open Access | Times Cited: 5
A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models
Krithika Ramesh, Arnav Chavan, Shrey Pandit, et al.
(2023), pp. 15762-15782
Open Access | Times Cited: 5
Assessing Political Inclination of Bangla Language Models
Surendrabikram Thapa, Ashwarya Maratha, Khan Md. Hasib, et al.
(2023), pp. 62-71
Open Access | Times Cited: 4
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: 4
Solving Cosine Similarity Underestimation between High Frequency Words by ℓ2 Norm Discounting Norm Discounting
Saeth Wannasuphoprasit, Yi Zhou, Danushka Bollegala
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 8644-8652
Open Access | Times Cited: 2
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation
Xiaohang Tang, Yi Zhou, Danushka Bollegala
(2023), pp. 9352-9369
Open Access | Times Cited: 2
Evaluating Stereotypical Biases and Implications for Fairness in Large Language Models
Christina Cao, Danushka Bandara
(2024)
Closed Access
Quantifying Gender Bias in Arabic Pre-Trained Language Models
Wafa Alrajhi, Hend S. Al‐Khalifa, AbdulMalik S. Al‐Salman
IEEE Access (2024) Vol. 12, pp. 77406-77420
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
A perspective on gender bias in generated text data
Thomas Hupperich
Frontiers in Human Dynamics (2024) Vol. 6
Open Access
On Evaluating and Mitigating Gender Biases in Multilingual Settings
Aniket Vashishtha, Kabir Ahuja, Sunayana Sitaram
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 307-318
Open Access | Times Cited: 1
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki
(2023), pp. 2857-2863
Open Access | Times Cited: 1
In-Depth Look at Word Filling Societal Bias Measures
Matúš Pikuliak, Ivana Beňová, Viktor Bachratý
(2023), pp. 3648-3665
Open Access | Times Cited: 1
Gender Bias in Meta-Embeddings
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki
(2022), pp. 3118-3133
Open Access | Times Cited: 2
Exploring Techniques to Detect and Mitigate Non-Inclusive Language Bias in Marketing Communications using a Dictionary-Based Approach
Bharathi Raja Chakravarthi, Prasanna Kumar Kumaresan, Rahul Ponnusamy, et al.
(2023), pp. 918-925
Open Access
Efficient Multilingual Language Model Compression through Vocabulary Trimming
Asahi Ushio, Yi Zhou, José Camacho-Collados
(2023), pp. 14725-14739
Open Access
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki
(2023), pp. 29-36
Open Access
ACL 2022 and NAACL 2022 Participation Reports
Masahiro Kaneko
Journal of Natural Language Processing (2022) Vol. 29, Iss. 4, pp. 1279-1283
Open Access
Page 1

Scroll to top