
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:
Sustainable Modular Debiasing of Language Models
Anne Lauscher, Tobias Lueken, Goran Glavaš
(2021)
Open Access | Times Cited: 62
Anne Lauscher, Tobias Lueken, Goran Glavaš
(2021)
Open Access | Times Cited: 62
Showing 26-50 of 62 citing articles:
Plug-and-Play Document Modules for Pre-trained Models
Chaojun Xiao, Zhengyan Zhang, Xu Han, et al.
(2023), pp. 15713-15729
Open Access | Times Cited: 4
Chaojun Xiao, Zhengyan Zhang, Xu Han, et al.
(2023), pp. 15713-15729
Open Access | Times Cited: 4
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention
Yacine Gaci, Boualem Benatallah, Fabio Casati, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 9582-9602
Open Access | Times Cited: 7
Yacine Gaci, Boualem Benatallah, Fabio Casati, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 9582-9602
Open Access | Times Cited: 7
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers
Chia-Chien Hung, Anne Lauscher, Dirk Hovy, et al.
(2023), pp. 1565-1580
Open Access | Times Cited: 4
Chia-Chien Hung, Anne Lauscher, Dirk Hovy, et al.
(2023), pp. 1565-1580
Open Access | Times Cited: 4
-generAItor: Tree-in-the-loop Text Generation for Language Model Explainability and Adaptation
Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova, et al.
ACM Transactions on Interactive Intelligent Systems (2024) Vol. 14, Iss. 2, pp. 1-32
Open Access | Times Cited: 1
Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova, et al.
ACM Transactions on Interactive Intelligent Systems (2024) Vol. 14, Iss. 2, pp. 1-32
Open Access | Times Cited: 1
Extracting intersectional stereotypes from embeddings: Developing and validating the Flexible Intersectional Stereotype Extraction procedure
Tessa Elizabeth Sadie Charlesworth, Kshitish Ghate, Aylin Caliskan, et al.
PNAS Nexus (2024) Vol. 3, Iss. 3
Open Access | Times Cited: 1
Tessa Elizabeth Sadie Charlesworth, Kshitish Ghate, Aylin Caliskan, et al.
PNAS Nexus (2024) Vol. 3, Iss. 3
Open Access | Times Cited: 1
Regional bias in monolingual English language models
Jiachen Lyu, Katharina Dost, Yun Sing Koh, et al.
Machine Learning (2024) Vol. 113, Iss. 9, pp. 6663-6696
Open Access | Times Cited: 1
Jiachen Lyu, Katharina Dost, Yun Sing Koh, et al.
Machine Learning (2024) Vol. 113, Iss. 9, pp. 6663-6696
Open Access | Times Cited: 1
Speciesist language and nonhuman animal bias in English Masked Language Models
Masashi Takeshita, Rafał Rzepka, Kenji Araki
Information Processing & Management (2022) Vol. 59, Iss. 5, pp. 103050-103050
Open Access | Times Cited: 6
Masashi Takeshita, Rafał Rzepka, Kenji Araki
Information Processing & Management (2022) Vol. 59, Iss. 5, pp. 103050-103050
Open Access | Times Cited: 6
Semantic Color Mapping: A Pipeline for Assigning Meaningful Colors to Text
Mennatallah El‐Assady, Rebecca Kehlbeck, Yannick Metz, et al.
(2022) Vol. 26, pp. 16-22
Closed Access | Times Cited: 6
Mennatallah El‐Assady, Rebecca Kehlbeck, Yannick Metz, et al.
(2022) Vol. 26, pp. 16-22
Closed Access | Times Cited: 6
What Do Compressed Multilingual Machine Translation Models Forget?
Alireza Mohammadshahi, Vassilina Nikoulina, Alexandre Bérard, et al.
(2022), pp. 4308-4329
Open Access | Times Cited: 5
Alireza Mohammadshahi, Vassilina Nikoulina, Alexandre Bérard, et al.
(2022), pp. 4308-4329
Open Access | Times Cited: 5
Fair and Argumentative Language Modeling for Computational Argumentation
Carolin Holtermann, Anne Lauscher, Simone Paolo Ponzetto
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 7841-7861
Open Access | Times Cited: 4
Carolin Holtermann, Anne Lauscher, Simone Paolo Ponzetto
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 7841-7861
Open Access | Times Cited: 4
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
Anne Lauscher, Federico Bianchi, Samuel R. Bowman, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 7901-7918
Open Access | Times Cited: 4
Anne Lauscher, Federico Bianchi, Samuel R. Bowman, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 7901-7918
Open Access | Times Cited: 4
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
Xiaohang Tang, Yi Zhou, Danushka Bollegala
(2023), pp. 9352-9369
Open Access | Times Cited: 2
Targeting the Source: Selective Data Curation for Debiasing NLP Models
Yacine Gaci, Boualem Benatallah, Fabio Casati, et al.
Lecture notes in computer science (2023), pp. 276-294
Closed Access | Times Cited: 2
Yacine Gaci, Boualem Benatallah, Fabio Casati, et al.
Lecture notes in computer science (2023), pp. 276-294
Closed Access | Times Cited: 2
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation
Minwoo Lee, Hyukhun Koh, Kang-il Lee, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 16825-16839
Open Access | Times Cited: 2
Minwoo Lee, Hyukhun Koh, Kang-il Lee, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 16825-16839
Open Access | Times Cited: 2
DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias
Mahdi Zakizadeh, Kaveh Eskandari Miandoab, Mohammad Taher Pilehvar
(2023), pp. 1897-1914
Open Access | Times Cited: 2
Mahdi Zakizadeh, Kaveh Eskandari Miandoab, Mohammad Taher Pilehvar
(2023), pp. 1897-1914
Open Access | Times Cited: 2
Visual Comparison of Text Sequences Generated by Large Language Models
Rita Sevastjanova, Simon Vogelbacher, Andreas Spitz, et al.
(2023), pp. 11-20
Closed Access | Times Cited: 2
Rita Sevastjanova, Simon Vogelbacher, Andreas Spitz, et al.
(2023), pp. 11-20
Closed Access | Times Cited: 2
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
Aniket Vashishtha, Kabir Ahuja, Sunayana Sitaram
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 307-318
Open Access | Times Cited: 1
Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model
Abhijith Chintam, Rahel Beloch, Willem Zuidema, et al.
(2023), pp. 379-394
Open Access | Times Cited: 1
Abhijith Chintam, Rahel Beloch, Willem Zuidema, et al.
(2023), pp. 379-394
Open Access | Times Cited: 1
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques
Manon Reusens, Philipp Borchert, Margot Mieskes, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 2887-2896
Open Access | Times Cited: 1
Manon Reusens, Philipp Borchert, Margot Mieskes, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 2887-2896
Open Access | Times Cited: 1
PEFTDebias : Capturing debiasing information using PEFTs
Sumit Agarwal, Aditya Srikanth Veerubhotla, Srijan Bansal
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 1992-2000
Open Access | Times Cited: 1
Sumit Agarwal, Aditya Srikanth Veerubhotla, Srijan Bansal
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 1992-2000
Open Access | Times Cited: 1
Exploring Bias Evaluation Techniques for Quantifying Large Language Model Biases
Junheng He, Nankai Lin, Menglan Shen, et al.
(2023), pp. 265-270
Closed Access | Times Cited: 1
Junheng He, Nankai Lin, Menglan Shen, et al.
(2023), pp. 265-270
Closed Access | Times Cited: 1
A Multidimensional Analysis of Social Biases in Vision Transformers
Jannik Brinkmann, Paul Swoboda, Christian Bartelt
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 4891-4900
Open Access | Times Cited: 1
Jannik Brinkmann, Paul Swoboda, Christian Bartelt
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 4891-4900
Open Access | Times Cited: 1
Regional Bias in Monolingual English Language Models
Jiachen Lyu, Katharina Dost, Yun Sing Koh, et al.
Research Square (Research Square) (2024)
Open Access
Jiachen Lyu, Katharina Dost, Yun Sing Koh, et al.
Research Square (Research Square) (2024)
Open Access
From Bias to Fairness: The Role of Domain-Specific Knowledge and Efficient Fine-Tuning
Weixiong Zheng, Aimin Yang, Nankai Lin, et al.
Lecture notes in computer science (2024), pp. 354-365
Closed Access
Weixiong Zheng, Aimin Yang, Nankai Lin, et al.
Lecture notes in computer science (2024), pp. 354-365
Closed Access