Implicit misogyny often requires background knowledge to be understood. To address this challenge, we propose a Retrieval-Augmented Generation (RAG) framework for detecting and explaining implicit misogyny in English and Italian, leveraging …
Persistent societal biases like misogyny express themselves more often implicitly than through openly hostile language.However, previous misogyny studies have focused primarily on explicit language, overlooking these more subtle forms. We bridge this …
In this paper, we describe the system proposed by the MilaNLP team for the Multimedia Automatic Misogyny Identification (MAMI) challenge. We use Perceiver IO as a multimodal late fusion over unimodal streams to address both sub-tasks A and B. We …