Papers Meme Classification
“Meme Classification” 태그가 달린 논문 60편 · 필터 해제
Can Thinking Models Think to Detect Hateful Memes?
Hateful memes often require compositional multimodal reasoning: the image and text may appear benign in isolation, yet their interaction conveys harmful intent. Although thinking-based multimodal large language models (M…
Reinforcement LearningMultimodal ReasoningMeme ClassificationDetecting Harmful Memes with Decoupled Understanding and Guided CoT Reasoning
Detecting harmful memes is essential for maintaining the integrity of online environments. However, current approaches often struggle with resource efficiency, flexibility, or explainability, limiting their practical dep…
Meme ClassificationLLM-based Semantic Augmentation for Harmful Content Detection
Recent advances in large language models (LLMs) have demonstrated strong performance on simple text classification tasks, frequently under zero-shot settings. However, their efficacy declines when tackling complex social…
ClassificationHateful Meme ClassificationMeme ClassificationPropaganda detection+2Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection
Hateful memes have become a significant concern on the Internet, necessitating robust automated detection systems. While LMMs have shown promise in hateful meme detection, they face notable challenges like sub-optimal pe…
Contrastive LearningDomain GeneralizationHateful Meme ClassificationIn-Context Learning+2Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions
Hateful meme detection presents a significant challenge as a multimodal task due to the complexity of interpreting implicit hate messages and contextual cues within memes. Previous approaches have fine-tuned pre-trained …
Hateful Meme ClassificationMeme ClassificationFigurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification
The expression of mental health symptoms through non-traditional means, such as memes, has gained remarkable attention over the past few years, with users often highlighting their mental health struggles through figurati…
Meme ClassificationPrompt-enhanced Network for Hateful Meme Classification
The dynamic expansion of social media has led to an inundation of hateful memes on media platforms, accentuating the growing need for efficient identification and removal. Acknowledging the constraints of conventional mu…
ClassificationContrastive LearningHateful Meme ClassificationLanguage Modelling+2MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
The complexity of text-embedded images presents a formidable challenge in machine learning given the need for multimodal understanding of multiple aspects of expression conveyed by them. While previous research in multim…
ClassificationHateful Meme ClassificationHumor DetectionMeme ClassificationWhat Makes a Meme a Meme? Identifying Memes for Memetics-Aware Dataset Creation
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 research is the classification of memes accor…
Meme ClassificationIITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes
Memes are one of the most popular types of content used in an online disinformation campaign. They are primarily effective on social media platforms since they can easily reach many users. Memes in a disinformation campa…
Binary ClassificationClassificationHierarchical Multi-label ClassificationMeme Classification+3MATK: The Meme Analytical Tool Kit
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 cultural issues. As a result, people ha…
Meme ClassificationVisual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
Solving complex visual tasks such as "Who invented the musical instrument on the right?" involves a composition of skills: understanding space, recognizing instruments, and also retrieving prior knowledge. Recent work sh…
Language ModelingLanguage ModellingLarge Language ModelMeme Classification+2Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning
Hateful memes have emerged as a significant concern on the Internet. Detecting hateful memes requires the system to jointly understand the visual and textual modalities. Our investigation reveals that the embedding space…
Contrastive LearningHateful Meme ClassificationMeme ClassificationRetrievalBanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification
The dramatic increase in the use of social media platforms for information sharing has also fueled a steep growth in online abuse. A simple yet effective way of abusing individuals or communities is by creating memes, wh…
ClassificationMeme ClassificationMapping Memes to Words for Multimodal Hateful Meme Classification
Multimodal image-text memes are prevalent on the internet, serving as a unique form of communication that combines visual and textual elements to convey humor, ideas, or emotions. However, some memes take a malicious tur…
Hateful Meme ClassificationLanguage ModelingLanguage ModellingMeme ClassificationPro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection
Hateful meme detection is a challenging multimodal task that requires comprehension of both vision and language, as well as cross-modal interactions. Recent studies have tried to fine-tune pre-trained vision-language mod…
Image CaptioningLanguage ModelingLanguage ModellingMeme Classification+3Decoding the Underlying Meaning of Multimodal Hateful Memes
Recent studies have proposed models that yielded promising performance for the hateful meme classification task. Nevertheless, these proposed models do not generate interpretable explanations that uncover the underlying …
BenchmarkingHateful Meme ClassificationMeme ClassificationMemeGraphs: Linking Memes to Knowledge Graphs
Memes are a popular form of communicating trends and ideas in social media and on the internet in general, combining the modalities of images and text. They can express humor and sarcasm but can also have offensive conte…
Entity LinkingKnowledge GraphsMeme ClassificationMemeFier: Dual-stage Modality Fusion for Image Meme Classification
Hate speech is a societal problem that has significantly grown through the Internet. New forms of digital content such as image memes have given rise to spread of hate using multimodal means, being far more difficult to …
ClassificationMeme ClassificationPrompting for Multimodal Hateful Meme Classification
Hateful meme classification is a challenging multimodal task that requires complex reasoning and contextual background knowledge. Ideally, we could leverage an explicit external knowledge base to supplement contextual an…
ClassificationHateful Meme ClassificationLanguage ModelingLanguage Modelling+1