4 papers
Beyond Binary Classification: Detecting Fine-Grained Sexism in Social Media Videos
Laura De Grazia, Danae Sánchez Villegas, Desmond Elliott +2
Online sexism appears in various forms, which makes its detection challenging. Although automated tools can enhance the identification of sexist content, they are often restricted…
Movie Facts and Fibs (MF): A Benchmark for Long Movie Understanding
Emmanouil Zaranis, António Farinhas, Saul Santos +28
Despite recent progress in vision-language models (VLMs), holistic understanding of long-form video content remains a significant challenge, partly due to limitations in current be…
MuSeD: A Multimodal Spanish Dataset for Sexism Detection in Social Media Videos
Laura De Grazia, Pol Pastells, Mauro Vázquez Chas +4
Sexism is generally defined as prejudice and discrimination based on sex or gender, affecting every sector of society, from social institutions to relationships and individual beha…
ImageChain: Advancing Sequential Image-to-Text Reasoning in Multimodal Large Language Models
Danae Sánchez Villegas, Ingo Ziegler, Desmond Elliott
Reasoning over sequences of images remains a challenge for multimodal large language models (MLLMs). While recent models incorporate multi-image data during pre-training, they stil…