2 citations · 3 across the 4 of their papers we have counts for
4 papers
I Know What You Meme, Even If it Emerged Today: Understanding Evolving Memes through Open-World Knowledge Acquisition
Shanhong Liu, Rui Cao, Pai Chet Ng +1
Multimodal memes are dynamic and often require up to date background knowledge for interpretation. Existing methods often overlook such knowledge or rely on fixed parametric knowle…
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
Ziyu Ge, Yuhao Wu, Daniel Wai Kit Chin +2
Large Language Models (LLMs) augmented with retrieval mechanisms have demonstrated significant potential in fact-checking tasks by integrating external knowledge. However, their re…
Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models
Ming Shan Hee, Shivam Sharma, Rui Cao +4
In the evolving landscape of online communication, moderating hate speech (HS) presents an intricate challenge, compounded by the multimodal nature of digital content. This compreh…
MATK: The Meme Analytical Tool Kit
Ming Shan Hee, Aditi Kumaresan, Nguyen Khoi Hoang +3
The rise of social media platforms has brought about a new digital culture called memes. Memes, which combine visuals and text, can strongly influence public opinions on social and…