42 citations · 99 across the 9 of their papers we have counts for
3 papers · 1 filter
Perturbation Augmentation for Fairer NLP
Rebecca Qian, Candace Ross, Jude Fernandes +3
Unwanted and often harmful social biases are becoming ever more salient in NLP research, affecting both models and datasets. In this work, we ask whether training on demographicall…
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
Tristan Thrush, Ryan Jiang, Max Bartolo +4
We present a novel task and dataset for evaluating the ability of vision and language models to conduct visio-linguistic compositional reasoning, which we call Winoground. Given tw…
CM3: A Causal Masked Multimodal Model of the Internet
Armen Aghajanyan, Bernie Huang, Candace Ross +8
We introduce CM3, a family of causally masked generative models trained over a large corpus of structured multi-modal documents that can contain both text and image tokens. Our new…