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

25 October 2024

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

7 / 57 papers shown

Title
A Step Toward More Inclusive People Annotations for Fairness Candice Schumann Susanna Ricco Utsav Prabhu V. Ferrari C. Pantofaru 40 64 0 05 May 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 460 3,952 0 18 Apr 2021
Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models Tejas Srinivasan Yonatan Bisk VLM 44 56 0 18 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 681 28,659 0 26 Feb 2021
Measuring Bias in Contextualized Word Representations Keita Kurita Nidhi Vyas Ayush Pareek A. Black Yulia Tsvetkov 75 448 0 18 Jun 2019
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling Alexander Miserlis Hoyle Lawrence Wolf-Sonkin Hanna M. Wallach Isabelle Augenstein Ryan Cotterell 35 51 0 11 Jun 2019
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordonez Kai-Wei Chang 80 919 0 18 Apr 2018