Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models

26 October 2023

Papers citing "Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models"

6 / 6 papers shown

Title
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs) Leander Girrbach Yiran Huang Stephan Alaniz Trevor Darrell Zeynep Akata VLM 40 2 0 25 Oct 2024
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 244 4,186 0 30 Jan 2023
Gender and Racial Bias in Visual Question Answering Datasets Yusuke Hirota Yuta Nakashima Noa Garcia FaML 119 46 0 17 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 385 4,010 0 28 Jan 2022
A Systematic Study of Bias Amplification Melissa Hall L. V. D. van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 92 69 0 27 Jan 2022
Visually Grounded Reasoning across Languages and Cultures Fangyu Liu Emanuele Bugliarello E. Ponti Siva Reddy Nigel Collier Desmond Elliott VLM LRM 92 167 0 28 Sep 2021