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:
Multimodal datasets: misogyny, pornography, and malignant stereotypes
Abeba Birhane, Vinay Uday Prabhu, Emmanuel Kahembwe
arXiv (Cornell University) (2021)
Open Access | Times Cited: 108
Abeba Birhane, Vinay Uday Prabhu, Emmanuel Kahembwe
arXiv (Cornell University) (2021)
Open Access | Times Cited: 108
Showing 1-25 of 108 citing articles:
Generative AI
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, et al.
Business & Information Systems Engineering (2023) Vol. 66, Iss. 1, pp. 111-126
Open Access | Times Cited: 360
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, et al.
Business & Information Systems Engineering (2023) Vol. 66, Iss. 1, pp. 111-126
Open Access | Times Cited: 360
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 15617-15629
Open Access | Times Cited: 300
Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 15617-15629
Open Access | Times Cited: 300
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
Tristan Thrush, Ryan Jiang, Max Bartolo, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 115
Tristan Thrush, Ryan Jiang, Max Bartolo, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 115
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound
Rowan Zellers, Jiasen Lu, Ximing Lu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16354-16366
Open Access | Times Cited: 100
Rowan Zellers, Jiasen Lu, Ximing Lu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16354-16366
Open Access | Times Cited: 100
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 6048-6058
Open Access | Times Cited: 84
Gowthami Somepalli, Vasu Singla, Micah Goldblum, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 6048-6058
Open Access | Times Cited: 84
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
Su Wang, Chitwan Saharia, Ceslee Montgomery, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 18359-18369
Open Access | Times Cited: 74
Su Wang, Chitwan Saharia, Ceslee Montgomery, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 18359-18369
Open Access | Times Cited: 74
Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators
Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
(2023), pp. 1-6
Open Access | Times Cited: 73
Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
(2023), pp. 1-6
Open Access | Times Cited: 73
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
Patrick Schramowski, Manuel Brack, Björn Deiseroth, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 65
Patrick Schramowski, Manuel Brack, Björn Deiseroth, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 65
Fake it Till You Make it: Learning Transferable Representations from Synthetic ImageNet Clones
Mert Bülent Sarıyıldız, Karteek Alahari, Diane Larlus, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 8011-8021
Open Access | Times Cited: 46
Mert Bülent Sarıyıldız, Karteek Alahari, Diane Larlus, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 8011-8021
Open Access | Times Cited: 46
The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence
Timnit Gebru, Émile P. Torres
First Monday (2024)
Open Access | Times Cited: 40
Timnit Gebru, Émile P. Torres
First Monday (2024)
Open Access | Times Cited: 40
Poisoning Web-Scale Training Datasets is Practical
Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, et al.
2022 IEEE Symposium on Security and Privacy (SP) (2024) Vol. 29, pp. 407-425
Closed Access | Times Cited: 33
Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, et al.
2022 IEEE Symposium on Security and Privacy (SP) (2024) Vol. 29, pp. 407-425
Closed Access | Times Cited: 33
AI auditing: The Broken Bus on the Road to AI Accountability
Abeba Birhane, Ryan Steed, Victor Ojewale, et al.
(2024), pp. 612-643
Open Access | Times Cited: 25
Abeba Birhane, Ryan Steed, Victor Ojewale, et al.
(2024), pp. 612-643
Open Access | Times Cited: 25
Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research
Junhong Xiao, Aras Bozkurt, Mark Nichols, et al.
TechTrends (2025)
Closed Access | Times Cited: 11
Junhong Xiao, Aras Bozkurt, Mark Nichols, et al.
TechTrends (2025)
Closed Access | Times Cited: 11
The advantages of lexicon-based sentiment analysis in an age of machine learning
A. Maurits van der Veen, Erik Bleich
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0313092-e0313092
Open Access | Times Cited: 4
A. Maurits van der Veen, Erik Bleich
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0313092-e0313092
Open Access | Times Cited: 4
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
Mannat Singh, Laura Gustafson, Aaron Adcock, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 794-804
Open Access | Times Cited: 63
Mannat Singh, Laura Gustafson, Aaron Adcock, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 794-804
Open Access | Times Cited: 63
Data Contamination: From Memorization to Exploitation
Inbal Magar, Roy Schwartz
(2022), pp. 157-165
Open Access | Times Cited: 39
Inbal Magar, Roy Schwartz
(2022), pp. 157-165
Open Access | Times Cited: 39
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
Ajay Jain, Amber Xie, Pieter Abbeel
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. abs 2010 2502, pp. 1911-1920
Open Access | Times Cited: 37
Ajay Jain, Amber Xie, Pieter Abbeel
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. abs 2010 2502, pp. 1911-1920
Open Access | Times Cited: 37
AI’s Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia
Rida Qadri, Renee Shelby, Cynthia L. Bennett, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 506-517
Open Access | Times Cited: 36
Rida Qadri, Renee Shelby, Cynthia L. Bennett, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 506-517
Open Access | Times Cited: 36
Generative AI
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 28
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 28
Reclaiming AI as a theoretical tool for cognitive science
Iris van Rooij, Olivia Guest, Federico Adolfi, et al.
(2023)
Open Access | Times Cited: 25
Iris van Rooij, Olivia Guest, Federico Adolfi, et al.
(2023)
Open Access | Times Cited: 25
Rethinking open source generative AI: open washing and the EU AI Act
Andreas Liesenfeld, Mark Dingemanse
2022 ACM Conference on Fairness, Accountability, and Transparency (2024)
Open Access | Times Cited: 14
Andreas Liesenfeld, Mark Dingemanse
2022 ACM Conference on Fairness, Accountability, and Transparency (2024)
Open Access | Times Cited: 14
Security and Privacy on Generative Data in AIGC: A Survey
Tao Wang, Yushu Zhang, Shuren Qi, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 4, pp. 1-34
Open Access | Times Cited: 14
Tao Wang, Yushu Zhang, Shuren Qi, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 4, pp. 1-34
Open Access | Times Cited: 14
Introduction to Large Language Models (LLMs) for dementia care and research
Matthias S. Treder, Sojin Lee, Kamen A. Tsvetanov
Frontiers in Dementia (2024) Vol. 3
Open Access | Times Cited: 9
Matthias S. Treder, Sojin Lee, Kamen A. Tsvetanov
Frontiers in Dementia (2024) Vol. 3
Open Access | Times Cited: 9
Fine-grained Image Captioning with CLIP Reward
Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022), pp. 517-527
Open Access | Times Cited: 38
Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022), pp. 517-527
Open Access | Times Cited: 38
Quantifying Societal Bias Amplification in Image Captioning
Yusuke Hirota, Yuta Nakashima, Noa García
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 13440-13449
Open Access | Times Cited: 30
Yusuke Hirota, Yuta Nakashima, Noa García
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 13440-13449
Open Access | Times Cited: 30
