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:
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
Rochelle Choenni, Ekaterina Shutova, Robert van Rooij
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 1477-1491
Open Access | Times Cited: 12
Rochelle Choenni, Ekaterina Shutova, Robert van Rooij
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 1477-1491
Open Access | Times Cited: 12
Showing 12 citing articles:
Towards Faithful Model Explanation in NLP: A Survey
Qing Lyu, Marianna Apidianaki, Chris Callison-Burch
Computational Linguistics (2024) Vol. 50, Iss. 2, pp. 657-723
Open Access | Times Cited: 19
Qing Lyu, Marianna Apidianaki, Chris Callison-Burch
Computational Linguistics (2024) Vol. 50, Iss. 2, pp. 657-723
Open Access | Times Cited: 19
Language Model Behavior: A Comprehensive Survey
Tyler A. Chang, Benjamin Bergen
Computational Linguistics (2023) Vol. 50, Iss. 1, pp. 293-350
Open Access | Times Cited: 37
Tyler A. Chang, Benjamin Bergen
Computational Linguistics (2023) Vol. 50, Iss. 1, pp. 293-350
Open Access | Times Cited: 37
Pipelines for Social Bias Testing of Large Language Models
Debora Nozza, Federico Bianchi, Dirk Hovy
(2022)
Open Access | Times Cited: 23
Debora Nozza, Federico Bianchi, Dirk Hovy
(2022)
Open Access | Times Cited: 23
Comparing diversity, negativity, and stereotypes in Chinese-language AI technologies: an investigation of Baidu, Ernie and Qwen
G. Liu, Carlo Bono, Francesco Pierri
PeerJ Computer Science (2025) Vol. 11, pp. e2694-e2694
Open Access
G. Liu, Carlo Bono, Francesco Pierri
PeerJ Computer Science (2025) Vol. 11, pp. e2694-e2694
Open Access
Speaking Multiple Languages Affects the Moral Bias of Language Models
Katharina Haemmerl, Bjoern Deiseroth, Patrick Schramowski, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 2137-2156
Open Access | Times Cited: 12
Katharina Haemmerl, Bjoern Deiseroth, Patrick Schramowski, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 2137-2156
Open Access | Times Cited: 12
Deciphering Stereotypes in Pre-Trained Language Models
Weicheng Ma, Henry Scheible, Brian Wang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 11328-11345
Open Access | Times Cited: 5
Weicheng Ma, Henry Scheible, Brian Wang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 11328-11345
Open Access | Times Cited: 5
The 2024 U.S. Presidential Election PoSSUM Poll
Roberto Cerina, Raymond Duch
PS Political Science & Politics (2024), pp. 1-28
Open Access | Times Cited: 1
Roberto Cerina, Raymond Duch
PS Political Science & Politics (2024), pp. 1-28
Open Access | Times Cited: 1
StereoKG: Data-Driven Knowledge Graph Construction For Cultural Knowledge and Stereotypes
Awantee Deshpande, Dana Ruiter, Marius Mosbach, et al.
(2022), pp. 67-78
Open Access | Times Cited: 4
Awantee Deshpande, Dana Ruiter, Marius Mosbach, et al.
(2022), pp. 67-78
Open Access | Times Cited: 4
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
Yi Zhou, José Camacho-Collados, Danushka Bollegala
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 11082-11100
Open Access
Yi Zhou, José Camacho-Collados, Danushka Bollegala
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 11082-11100
Open Access
Generating Synthetic Data from Large Language Models
Sunil Choenni, Tony Busker, Mortaza S. Bargh
(2023), pp. 73-78
Closed Access
Sunil Choenni, Tony Busker, Mortaza S. Bargh
(2023), pp. 73-78
Closed Access
Racial Skew in Fine-Tuned Legal AI Language Models
Vincent Malic, Anamika Kumari, Xiaozhong Liu
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2023), pp. 245-252
Closed Access
Vincent Malic, Anamika Kumari, Xiaozhong Liu
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2023), pp. 245-252
Closed Access
Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning
Jirui Qi, Richong Zhang, Junfan Chen, et al.
(2022), pp. 3952-3962
Open Access
Jirui Qi, Richong Zhang, Junfan Chen, et al.
(2022), pp. 3952-3962
Open Access
