2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
Baao Xie, Qiuyu Chen, Yunnan Wang +3
Disentangled representation learning (DRL) aims to identify and decompose underlying factors behind observations, thus facilitating data perception and generation. However, current…
cs.CL2023★ 1 cited
Thinking Like an Expert:Multimodal Hypergraph-of-Thought (HoT) Reasoning to boost Foundation Modals
Fanglong Yao, Changyuan Tian, Jintao Liu +6
Reasoning ability is one of the most crucial capabilities of a foundation model, signifying its capacity to address complex reasoning tasks. Chain-of-Thought (CoT) technique is wid…
cs.CL2023★ 2 cited
TOT: Topology-Aware Optimal Transport For Multimodal Hate Detection
Linhao Zhang, Li Jin, Xian Sun +6
Multimodal hate detection, which aims to identify harmful content online such as memes, is crucial for building a wholesome internet environment. Previous work has made enlightenin…