activity
20232025
most citedMeme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Facial Embedding

6 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025★ 1 cited

Beyond Meme Templates: Limitations of Visual Similarity Measures in Meme Matching

Muzhaffar Hazman, Susan McKeever, Josephine Griffith

Internet memes, now a staple of digital communication, play a pivotal role in how users engage within online communities and allow researchers to gain insight into contemporary dig…

cs.CL2025

Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation

Muzhaffar Hazman, Minh-Khoi Pham, Shweta Soundararajan +10

Prompt engineering has proven to be a crucial step in leveraging pretrained large language models (LLMs) in solving various real-world tasks. Numerous solutions have been proposed…

cs.LG2024★ 5 cited

What Makes a Meme a Meme? Identifying Memes for Memetics-Aware Dataset Creation

Muzhaffar Hazman, Susan McKeever, Josephine Griffith

Warning: This paper contains memes that may be offensive to some readers. Multimodal Internet Memes are now a ubiquitous fixture in online discourse. One strand of meme-based resea…

cs.CL2023

Unimodal Intermediate Training for Multimodal Meme Sentiment Classification

Muzhaffar Hazman, Susan McKeever, Josephine Griffith

Internet Memes remain a challenging form of user-generated content for automated sentiment classification. The availability of labelled memes is a barrier to developing sentiment c…

cs.CV2023★ 6 cited

Meme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Facial Embedding

Muzhaffar Hazman, Susan McKeever, Josephine Griffith

Internet memes are characterised by the interspersing of text amongst visual elements. State-of-the-art multimodal meme classifiers do not account for the relative positions of the…