ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.08911
  4. Cited By
Measuring Social Biases in Grounded Vision and Language Embeddings

Measuring Social Biases in Grounded Vision and Language Embeddings

20 February 2020
Candace Ross
Boris Katz
Andrei Barbu
ArXivPDFHTML

Papers citing "Measuring Social Biases in Grounded Vision and Language Embeddings"

13 / 13 papers shown
Title
VLMs as GeoGuessr Masters: Exceptional Performance, Hidden Biases, and Privacy Risks
VLMs as GeoGuessr Masters: Exceptional Performance, Hidden Biases, and Privacy Risks
Jingyuan Huang
Jen-tse Huang
Ziyi Liu
Xiaoyuan Liu
Wenxuan Wang
Jieyu Zhao
45
1
0
16 Feb 2025
MASS: Overcoming Language Bias in Image-Text Matching
MASS: Overcoming Language Bias in Image-Text Matching
Jiwan Chung
Seungwon Lim
Sangkyu Lee
Youngjae Yu
VLM
30
0
0
20 Jan 2025
Having Beer after Prayer? Measuring Cultural Bias in Large Language
  Models
Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
Tarek Naous
Michael Joseph Ryan
Alan Ritter
Wei-ping Xu
24
84
0
23 May 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
28
51
0
06 Apr 2023
Trustworthy Social Bias Measurement
Trustworthy Social Bias Measurement
Rishi Bommasani
Percy Liang
27
10
0
20 Dec 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as
  Artificial Adversaries?
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Saadia Gabriel
Hamid Palangi
Yejin Choi
AAML
32
1
0
08 Nov 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 Y. Zou
Aylin Caliskan
DiffM
VLM
29
288
0
07 Nov 2022
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
Kun Zhou
Yeyun Gong
Xiao Liu
Wayne Xin Zhao
Yelong Shen
...
Jing Lu
Rangan Majumder
Ji-Rong Wen
Nan Duan
Weizhu Chen
21
33
0
21 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
14
27
0
03 Jul 2022
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression
  Comprehension
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
Sanjay Subramanian
William Merrill
Trevor Darrell
Matt Gardner
Sameer Singh
Anna Rohrbach
ObjD
19
123
0
12 Apr 2022
CM3: A Causal Masked Multimodal Model of the Internet
CM3: A Causal Masked Multimodal Model of the Internet
Armen Aghajanyan
Po-Yao (Bernie) Huang
Candace Ross
Vladimir Karpukhin
Hu Xu
...
Dmytro Okhonko
Mandar Joshi
Gargi Ghosh
M. Lewis
Luke Zettlemoyer
15
154
0
19 Jan 2022
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
Yuan Yao
Ao Zhang
Zhengyan Zhang
Zhiyuan Liu
Tat-Seng Chua
Maosong Sun
MLLM
VPVLM
VLM
194
220
0
24 Sep 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Zetian Wu
Yun Cheng
...
Peter Wu
Michelle A. Lee
Yuke Zhu
Ruslan Salakhutdinov
Louis-Philippe Morency
VLM
21
157
0
15 Jul 2021
1