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Large Vision-Language Models (LVLMs) have been widely adopted in various applications; however, they exhibit significant gender biases.
Fairness through awareness
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Men and women are from earth: examining the latent structure of gender
Bobbi J Carothers and Harry T Reis · 2013
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Equality of opportunity in supervised learning
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Big data’s disparate impact
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Semantics derived automatically from language corpora contain human-like biases
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Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M Rush · 2017
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Bleaching text: Abstract features for cross-lingual gender prediction
Rob Van Der Goot, Nikola Ljubešić, Ian Matroos, Malvina Nissim, and Barbara Plank · 2018
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Bias in bios: A case study of semantic representation bias in a high-stakes setting
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Perceptual-sensitive gan for generating adversarial patches
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, and Dacheng Tao · 2019
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Shruti Bhargava and David Forsyth · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Aishan Liu, Xianglong Liu, Hang Yu, Chongzhi Zhang, Qiang Liu, and Dacheng Tao · 2021
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Understanding and evaluating racial biases in image captioning
Dora Zhao, Angelina Wang, and Olga Russakovsky · 2021
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Harms of gender exclusivity and challenges in non-binary representation in language technologies
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M Phillips, and Kai-Wei Chang · 2021
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Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
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Harnessing perceptual adversarial patches for crowd counting
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, and Dacheng Tao · 2022
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Vlstereoset: A study of stereotypical bias in pre-trained vision-language models
Kankan Zhou, Yibin LAI, and Jing Jiang · 2022
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Yi Zhang, Junyang Wang, and Jitao Sang · 2022
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Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, and Jingren Zhou · 2023
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Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, and Dacheng Tao · 2023
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Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, and Dacheng Tao · 2023
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Robustmq: benchmarking robustness of quantized models
Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, and Xianglong Liu · 2023
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Gender biases in automatic evaluation metrics for image captioning
Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, and Nanyun Peng · 2023
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Sepehr Janghorbani and Gerard De Melo · 2023
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Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E Gonzalez, et al · 2023
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Chatgpt perpetuates gender bias in machine translation and ignores non-gendered pronouns: Findings across bengali and five other low-resource languages
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Chatgpt: How to generate prompts for stable diffusion
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Segment anything
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Minigpt-v2: large language model as a unified interface for vision-language multi-task learning
Jun Chen, Deyao Zhu, Xiaoqian Shen, Xiang Li, Zechun Liu, Pengchuan Zhang, Raghuraman Krishnamoorthi, Vikas Chandra, Yunyang Xiong, and Mohamed Elhoseiny · 2023
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mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration
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Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, et al · 2023
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Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, and Furu Wei · 2023
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Zhelun Shi, Zhipin Wang, Hongxing Fan, Zhenfei Yin, Lu Sheng, Yu Qiao, and Jing Shao · 2023
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Large language models sensitivity to the order of options in multiple-choice questions
Pouya Pezeshkpour and Estevam Hruschka · 2023
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Sasha Luccioni, Christopher Akiki, Margaret Mitchell, and Yacine Jernite · 2024
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