Fuser: An enhanced multimodal fusion framework with congruent reinforced perceptron for hateful memes detection
F Wu, B Gao, X Pan, L Li, Y Ma, S Liu, Z Liu - Information Processing & …, 2024 - Elsevier
As a multimodal form of hate speech on social media, hateful memes are more aggressive
and cryptic threats to the real life of humans. Automatic detection of hateful memes is crucial …
and cryptic threats to the real life of humans. Automatic detection of hateful memes is crucial …
HateSieve: A Contrastive Learning Framework for Detecting and Segmenting Hateful Content in Multimodal Memes
Amidst the rise of Large Multimodal Models (LMMs) and their widespread application in
generating and interpreting complex content, the risk of propagating biased and harmful …
generating and interpreting complex content, the risk of propagating biased and harmful …
OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst
Memes, which rapidly disseminate personal opinions and positions across the internet, also
pose significant challenges in propagating social bias and prejudice. This study presents a …
pose significant challenges in propagating social bias and prejudice. This study presents a …
Augmenting Multi-modal Question Answering Systems with Retrieval Methods
W Lin - 2024 - repository.cam.ac.uk
The quest to develop artificial intelligence systems capable of handling intricate tasks has
propelled the prominence of deep learning, particularly since 2016, when neural network …
propelled the prominence of deep learning, particularly since 2016, when neural network …