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Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)

25 October 2024
Leander Girrbach
Yiran Huang
Stephan Alaniz
Trevor Darrell
Zeynep Akata
    VLM
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Papers citing "Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)"

50 / 57 papers shown
Title
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
Leander Girrbach
Stephan Alaniz
Genevieve Smith
Zeynep Akata
85
0
0
30 Mar 2025
Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor
  Data
Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data
Atmika Gorti
Manas Gaur
Aman Chadha
58
2
0
20 Aug 2024
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
Haodong Duan
Junming Yang
Junming Yang
Xinyu Fang
Lin Chen
...
Yuhang Zang
Pan Zhang
Jiaqi Wang
Dahua Lin
Kai Chen
LM&MA
VLM
97
142
0
16 Jul 2024
Social Bias Evaluation for Large Language Models Requires Prompt
  Variations
Social Bias Evaluation for Large Language Models Requires Prompt Variations
Rem Hida
Masahiro Kaneko
Naoaki Okazaki
77
18
0
03 Jul 2024
GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models
  via Counterfactual Probing
GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing
Yisong Xiao
Aishan Liu
QianJia Cheng
Zhenfei Yin
Siyuan Liang
Jiapeng Li
Jing Shao
Xianglong Liu
Dacheng Tao
83
6
0
30 Jun 2024
Evaluating Fairness in Large Vision-Language Models Across Diverse
  Demographic Attributes and Prompts
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts
Xuyang Wu
Yuan Wang
Hsin-Tai Wu
Zhiqiang Tao
Yi Fang
VLM
54
10
0
25 Jun 2024
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Shengbang Tong
Ellis L Brown
Penghao Wu
Sanghyun Woo
Manoj Middepogu
...
Xichen Pan
Austin Wang
Rob Fergus
Yann LeCun
Saining Xie
3DV
MLLM
80
321
0
24 Jun 2024
VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large
  Vision-Language Model
VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model
Jie Zhang
Sibo Wang
Xiangkui Cao
Zheng Yuan
Shiguang Shan
Xilin Chen
Wen Gao
VLM
50
9
0
20 Jun 2024
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals
Phillip Howard
Kathleen C. Fraser
Anahita Bhiwandiwalla
S. Kiritchenko
86
11
0
30 May 2024
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal
  Models with Open-Source Suites
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Zhe Chen
Weiyun Wang
Hao Tian
Shenglong Ye
Zhangwei Gao
...
Tong Lu
Dahua Lin
Yu Qiao
Jifeng Dai
Wenhai Wang
MLLM
VLM
83
578
0
25 Apr 2024
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your
  Phone
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah Abdin
Sam Ade Jacobs
A. A. Awan
J. Aneja
Ahmed Hassan Awadallah
...
Li Zhang
Yi Zhang
Yue Zhang
Yunan Zhang
Xiren Zhou
LRM
ALM
90
1,136
0
22 Apr 2024
InternLM2 Technical Report
InternLM2 Technical Report
Zheng Cai
Maosong Cao
Haojiong Chen
Kai-xiang Chen
Keyu Chen
...
Jingming Zhuo
Yi-Ling Zou
Xipeng Qiu
Yu Qiao
Dahua Lin
ALM
37
191
0
26 Mar 2024
Debiasing surgeon: fantastic weights and how to find them
Debiasing surgeon: fantastic weights and how to find them
Rémi Nahon
Ivan Luiz De Moura Matos
Van-Tam Nguyen
Enzo Tartaglione
44
1
0
21 Mar 2024
Efficient Multimodal Learning from Data-centric Perspective
Efficient Multimodal Learning from Data-centric Perspective
Muyang He
Yexin Liu
Boya Wu
Jianhao Yuan
Yueze Wang
Tiejun Huang
Bo Zhao
MLLM
50
86
0
18 Feb 2024
Examining Gender and Racial Bias in Large Vision-Language Models Using a
  Novel Dataset of Parallel Images
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images
Kathleen C. Fraser
S. Kiritchenko
68
36
0
08 Feb 2024
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Xiangxiang Chu
Limeng Qiao
Xinyu Zhang
Shuang Xu
Fei Wei
...
Xiaofei Sun
Yiming Hu
Xinyang Lin
Bo Zhang
Chunhua Shen
VLM
MLLM
45
104
0
06 Feb 2024
Red Teaming Visual Language Models
Red Teaming Visual Language Models
Mukai Li
Lei Li
Yuwei Yin
Masood Ahmed
Zhenguang Liu
Qi Liu
VLM
72
34
0
23 Jan 2024
InternVL: Scaling up Vision Foundation Models and Aligning for Generic
  Visual-Linguistic Tasks
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
Zhe Chen
Jiannan Wu
Wenhai Wang
Weijie Su
Guo Chen
...
Bin Li
Ping Luo
Tong Lu
Yu Qiao
Jifeng Dai
VLM
MLLM
211
1,036
0
21 Dec 2023
Stable Diffusion Exposed: Gender Bias from Prompt to Image
Stable Diffusion Exposed: Gender Bias from Prompt to Image
Yankun Wu
Yuta Nakashima
Noa Garcia
49
17
0
05 Dec 2023
SEED-Bench-2: Benchmarking Multimodal Large Language Models
SEED-Bench-2: Benchmarking Multimodal Large Language Models
Bohao Li
Yuying Ge
Yixiao Ge
Guangzhi Wang
Rui Wang
Ruimao Zhang
Ying Shan
MLLM
VLM
40
68
0
28 Nov 2023
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning
  Benchmark for Expert AGI
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Xiang Yue
Yuansheng Ni
Kai Zhang
Tianyu Zheng
Ruoqi Liu
...
Yibo Liu
Wenhao Huang
Huan Sun
Yu-Chuan Su
Wenhu Chen
OSLM
ELM
VLM
148
833
0
27 Nov 2023
Evaluating Bias and Fairness in Gender-Neutral Pretrained
  Vision-and-Language Models
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
Laura Cabello
Emanuele Bugliarello
Stephanie Brandl
Desmond Elliott
37
7
0
26 Oct 2023
Quantifying Language Models' Sensitivity to Spurious Features in Prompt
  Design or: How I learned to start worrying about prompt formatting
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Melanie Sclar
Yejin Choi
Yulia Tsvetkov
Alane Suhr
68
322
0
17 Oct 2023
Improved Baselines with Visual Instruction Tuning
Improved Baselines with Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Yuheng Li
Yong Jae Lee
VLM
MLLM
89
2,593
0
05 Oct 2023
Aligning Large Multimodal Models with Factually Augmented RLHF
Aligning Large Multimodal Models with Factually Augmented RLHF
Zhiqing Sun
Sheng Shen
Shengcao Cao
Haotian Liu
Chunyuan Li
...
Liangyan Gui
Yu-Xiong Wang
Yiming Yang
Kurt Keutzer
Trevor Darrell
VLM
79
351
0
25 Sep 2023
Survey of Social Bias in Vision-Language Models
Survey of Social Bias in Vision-Language Models
Nayeon Lee
Yejin Bang
Holy Lovenia
Samuel Cahyawijaya
Wenliang Dai
Pascale Fung
VLM
87
16
0
24 Sep 2023
Bias and Fairness in Large Language Models: A Survey
Bias and Fairness in Large Language Models: A Survey
Isabel O. Gallegos
Ryan Rossi
Joe Barrow
Md Mehrab Tanjim
Sungchul Kim
Franck Dernoncourt
Tong Yu
Ruiyi Zhang
Nesreen Ahmed
AILaw
73
520
0
02 Sep 2023
Qwen-VL: A Versatile Vision-Language Model for Understanding,
  Localization, Text Reading, and Beyond
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Jinze Bai
Shuai Bai
Shusheng Yang
Shijie Wang
Sinan Tan
Peng Wang
Junyang Lin
Chang Zhou
Jingren Zhou
MLLM
VLM
ObjD
69
871
0
24 Aug 2023
The Bias Amplification Paradox in Text-to-Image Generation
The Bias Amplification Paradox in Text-to-Image Generation
P. Seshadri
Sameer Singh
Yanai Elazar
DiffM
41
42
0
01 Aug 2023
MMBench: Is Your Multi-modal Model an All-around Player?
MMBench: Is Your Multi-modal Model an All-around Player?
Yuanzhan Liu
Haodong Duan
Yuanhan Zhang
Yue Liu
Songyang Zhang
...
Jiaqi Wang
Conghui He
Ziwei Liu
Kai-xiang Chen
Dahua Lin
44
992
0
12 Jul 2023
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language
  Models
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Chaoyou Fu
Peixian Chen
Yunhang Shen
Yulei Qin
Mengdan Zhang
...
Xiawu Zheng
Ke Li
Xing Sun
Zhenyu Qiu
Rongrong Ji
ELM
MLLM
60
806
0
23 Jun 2023
VisoGender: A dataset for benchmarking gender bias in image-text pronoun
  resolution
VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution
S. Hall
F. G. Abrantes
Hanwen Zhu
Grace A. Sodunke
Aleksandar Shtedritski
Hannah Rose Kirk
CoGe
68
43
0
21 Jun 2023
LLM-Pruner: On the Structural Pruning of Large Language Models
LLM-Pruner: On the Structural Pruning of Large Language Models
Xinyin Ma
Gongfan Fang
Xinchao Wang
78
395
0
19 May 2023
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large
  Language Models
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Deyao Zhu
Jun Chen
Xiaoqian Shen
Xiang Li
Mohamed Elhoseiny
VLM
MLLM
98
1,978
0
20 Apr 2023
Visual Instruction Tuning
Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Qingyang Wu
Yong Jae Lee
SyDa
VLM
MLLM
343
4,607
0
17 Apr 2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Noa Garcia
Yusuke Hirota
Yankun Wu
Yuta Nakashima
EGVM
63
54
0
06 Apr 2023
Sigmoid Loss for Language Image Pre-Training
Sigmoid Loss for Language Image Pre-Training
Xiaohua Zhai
Basil Mustafa
Alexander Kolesnikov
Lucas Beyer
CLIP
VLM
83
1,076
0
27 Mar 2023
DeAR: Debiasing Vision-Language Models with Additive Residuals
DeAR: Debiasing Vision-Language Models with Additive Residuals
Ashish Seth
Mayur Hemani
Chirag Agarwal
VLM
30
54
0
18 Mar 2023
MultiModal Bias: Introducing a Framework for Stereotypical Bias
  Assessment beyond Gender and Race in Vision Language Models
MultiModal Bias: Introducing a Framework for Stereotypical Bias Assessment beyond Gender and Race in Vision Language Models
Sepehr Janghorbani
Gerard de Melo
VLM
77
12
0
16 Mar 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
644
13,788
0
15 Mar 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
385
4,465
0
30 Jan 2023
Reproducible scaling laws for contrastive language-image learning
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti
Romain Beaumont
Ross Wightman
Mitchell Wortsman
Gabriel Ilharco
Cade Gordon
Christoph Schuhmann
Ludwig Schmidt
J. Jitsev
VLM
CLIP
103
776
0
14 Dec 2022
Easily Accessible Text-to-Image Generation Amplifies Demographic
  Stereotypes at Large Scale
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
Federico Bianchi
Pratyusha Kalluri
Esin Durmus
Faisal Ladhak
Myra Cheng
Debora Nozza
Tatsunori Hashimoto
Dan Jurafsky
James Zou
Aylin Caliskan
DiffM
VLM
60
298
0
07 Nov 2022
Quantifying Social Biases Using Templates is Unreliable
Quantifying Social Biases Using Templates is Unreliable
P. Seshadri
Pouya Pezeshkpour
Sameer Singh
56
33
0
09 Oct 2022
Counterfactually Measuring and Eliminating Social Bias in
  Vision-Language Pre-training Models
Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models
Yi Zhang
Junyan Wang
Jitao Sang
36
28
0
03 Jul 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
283
3,458
0
29 Apr 2022
Quantifying Societal Bias Amplification in Image Captioning
Quantifying Societal Bias Amplification in Image Captioning
Yusuke Hirota
Yuta Nakashima
Noa Garcia
38
48
0
29 Mar 2022
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models
  with Adversarial Learning
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning
Hugo Elias Berg
S. Hall
Yash Bhalgat
Wonsuk Yang
Hannah Rose Kirk
Aleksandar Shtedritski
Max Bain
VLM
47
100
0
22 Mar 2022
Evaluating CLIP: Towards Characterization of Broader Capabilities and
  Downstream Implications
Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications
Sandhini Agarwal
Gretchen Krueger
Jack Clark
Alec Radford
Jong Wook Kim
Miles Brundage
42
141
0
05 Aug 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
238
10,099
0
17 Jun 2021
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