Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?
Fuente:
arXiv
Saved in:
| Main Authors: | Aggarwal, Piush, Mehrabanian, Jawar, Huang, Weigang, Alacam, Özge, Zesch, Torsten |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Show, don't tell -- Providing Visual Error Feedback for Handwritten Documents
by: Yasin, Said, et al.
Published: (2026)
by: Yasin, Said, et al.
Published: (2026)
Conditioning Large Language Models on Legal Systems? Detecting Punishable Hate Speech
by: Ludwig, Florian, et al.
Published: (2025)
by: Ludwig, Florian, et al.
Published: (2025)
Modularized Networks for Few-shot Hateful Meme Detection
by: Cao, Rui, et al.
Published: (2024)
by: Cao, Rui, et al.
Published: (2024)
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities
by: Ye, Haotian, et al.
Published: (2024)
by: Ye, Haotian, et al.
Published: (2024)
MemeIntel: Explainable Detection of Propagandistic and Hateful Memes
by: Kmainasi, Mohamed Bayan, et al.
Published: (2025)
by: Kmainasi, Mohamed Bayan, et al.
Published: (2025)
Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
by: Huang, Jinfa, et al.
Published: (2024)
by: Huang, Jinfa, et al.
Published: (2024)
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning
by: Mei, Jingbiao, et al.
Published: (2023)
by: Mei, Jingbiao, et al.
Published: (2023)
FBHM: Functional Benchmarking and Steering of VLMs for Hateful Meme Detection
by: Bhaskar, Paramananda, et al.
Published: (2026)
by: Bhaskar, Paramananda, et al.
Published: (2026)
Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
by: Van, Minh-Hao, et al.
Published: (2025)
by: Van, Minh-Hao, et al.
Published: (2025)
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection
by: Mei, Jingbiao, et al.
Published: (2025)
by: Mei, Jingbiao, et al.
Published: (2025)
Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations
by: Rizwan, Naquee, et al.
Published: (2024)
by: Rizwan, Naquee, et al.
Published: (2024)
See, Explain, and Intervene: A Few-Shot Multimodal Agent Framework for Hateful Meme Moderation
by: Rizwan, Naquee, et al.
Published: (2026)
by: Rizwan, Naquee, et al.
Published: (2026)
Deciphering Hate: Identifying Hateful Memes and Their Targets
by: Hossain, Eftekhar, et al.
Published: (2024)
by: Hossain, Eftekhar, et al.
Published: (2024)
The InviTE Corpus: Annotating Invectives in Tudor English Texts for Computational Modeling
by: Spliethoff, Sophie, et al.
Published: (2025)
by: Spliethoff, Sophie, et al.
Published: (2025)
Can Thinking Models Think to Detect Hateful Memes?
by: Kmainasi, Mohamed Bayan, et al.
Published: (2026)
by: Kmainasi, Mohamed Bayan, et al.
Published: (2026)
ExPO-HM: Learning to Explain-then-Detect for Hateful Meme Detection
by: Mei, Jingbiao, et al.
Published: (2025)
by: Mei, Jingbiao, et al.
Published: (2025)
Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models
by: Askari, Raha, et al.
Published: (2025)
by: Askari, Raha, et al.
Published: (2025)
Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions
by: Hee, Ming Shan, et al.
Published: (2025)
by: Hee, Ming Shan, et al.
Published: (2025)
SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes
by: Nandi, Palash, et al.
Published: (2024)
by: Nandi, Palash, et al.
Published: (2024)
Prompt-enhanced Network for Hateful Meme Classification
by: Liu, Junxi, et al.
Published: (2024)
by: Liu, Junxi, et al.
Published: (2024)
Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge
by: Tzelepi, Maria, et al.
Published: (2025)
by: Tzelepi, Maria, et al.
Published: (2025)
FernUni LLM Experimental Infrastructure (FLEXI) -- Enabling Experimentation and Innovation in Higher Education Through Access to Open Large Language Models
by: Zesch, Torsten, et al.
Published: (2024)
by: Zesch, Torsten, et al.
Published: (2024)
Beyond Meme Templates: Limitations of Visual Similarity Measures in Meme Matching
by: Hazman, Muzhaffar, et al.
Published: (2025)
by: Hazman, Muzhaffar, et al.
Published: (2025)
Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More
by: Wen, Zichen, et al.
Published: (2025)
by: Wen, Zichen, et al.
Published: (2025)
DeHate: A Stable Diffusion-based Multimodal Approach to Mitigate Hate Speech in Images
by: Dalal, Dwip, et al.
Published: (2025)
by: Dalal, Dwip, et al.
Published: (2025)
OSPC: Artificial VLM Features for Hateful Meme Detection
by: Grönquist, Peter
Published: (2024)
by: Grönquist, Peter
Published: (2024)
MemeMind: A Large-Scale Multimodal Dataset with Chain-of-Thought Reasoning for Harmful Meme Detection
by: Gu, Hexiang, et al.
Published: (2025)
by: Gu, Hexiang, et al.
Published: (2025)
GatedCLIP: Gated Multimodal Fusion for Hateful Memes Detection
by: Guo, Yingying, et al.
Published: (2026)
by: Guo, Yingying, et al.
Published: (2026)
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models
by: Li, Zhang, et al.
Published: (2023)
by: Li, Zhang, et al.
Published: (2023)
Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities
by: Pandiani, Delfina Sol Martinez, et al.
Published: (2024)
by: Pandiani, Delfina Sol Martinez, et al.
Published: (2024)
Capability-aware Prompt Reformulation Learning for Text-to-Image Generation
by: Zhan, Jingtao, et al.
Published: (2024)
by: Zhan, Jingtao, et al.
Published: (2024)
Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion Models
by: Huang, Jia-Hong, et al.
Published: (2024)
by: Huang, Jia-Hong, et al.
Published: (2024)
Beyond Translation: Cross-Cultural Meme Transcreation with Vision-Language Models
by: Zhao, Yuming, et al.
Published: (2026)
by: Zhao, Yuming, et al.
Published: (2026)
MemeScouts@LT-EDI 2026: Asking the Right Questions -- Prompted Weak Supervision for Meme Hate Speech Detection
by: Bueno, Ivo, et al.
Published: (2026)
by: Bueno, Ivo, et al.
Published: (2026)
Fast Prompt Alignment for Text-to-Image Generation
by: Mrini, Khalil, et al.
Published: (2024)
by: Mrini, Khalil, et al.
Published: (2024)
CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation
by: Leng, Jixuan, et al.
Published: (2025)
by: Leng, Jixuan, et al.
Published: (2025)
From Native Memes to Global Moderation: Cross-Cultural Evaluation of Vision-Language Models for Hateful Meme Detection
by: Wang, Mo, et al.
Published: (2026)
by: Wang, Mo, et al.
Published: (2026)
Text-to-Image Cross-Modal Generation: A Systematic Review
by: Żelaszczyk, Maciej, et al.
Published: (2024)
by: Żelaszczyk, Maciej, et al.
Published: (2024)
TRACE: Textual Relevance Augmentation and Contextual Encoding for Multimodal Hate Detection
by: Koushik, Girish A., et al.
Published: (2025)
by: Koushik, Girish A., et al.
Published: (2025)
More than Memes: A Multimodal Topic Modeling Approach to Conspiracy Theories on Telegram
by: Steffen, Elisabeth
Published: (2024)
by: Steffen, Elisabeth
Published: (2024)
Similar Items
-
Show, don't tell -- Providing Visual Error Feedback for Handwritten Documents
by: Yasin, Said, et al.
Published: (2026) -
Conditioning Large Language Models on Legal Systems? Detecting Punishable Hate Speech
by: Ludwig, Florian, et al.
Published: (2025) -
Modularized Networks for Few-shot Hateful Meme Detection
by: Cao, Rui, et al.
Published: (2024) -
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities
by: Ye, Haotian, et al.
Published: (2024) -
MemeIntel: Explainable Detection of Propagandistic and Hateful Memes
by: Kmainasi, Mohamed Bayan, et al.
Published: (2025)