mlsanityData to 7 Oct 2026

MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation

arXiv 2403.14652 ↗First posted 24 Feb 2024cs.CY cs.AI cs.CLcited by 9

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Abstract (arXiv)

Online memes have emerged as powerful digital cultural artifacts in the age of social media, offering not only humor but also platforms for political discourse, social critique, and information dissemination. Their extensive reach and influence in shaping online communities' sentiments make them invaluable tools for campaigning and promoting ideologies. Despite the development of several meme-generation tools, there remains a gap in their systematic evaluation and their ability to effectively communicate ideologies. Addressing this, we introduce MemeCraft, an innovative meme generator that leverages large language models (LLMs) and visual language models (VLMs) to produce memes advocating specific social movements. MemeCraft presents an end-to-end pipeline, transforming user prompts into compelling multimodal memes without manual intervention. Conscious of the misuse potential in creating divisive content, an intrinsic safety mechanism is embedded to curb hateful meme production.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 26 of its 50 references that are in the map. First posted on arXiv 24 Feb 2024.

Builds on

26 of 50 references.

References · 26

  1. 2022Training language models to follow instructions with human feedbackcited by 15,712
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  3. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  4. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
  5. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,747
  6. 2023InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuningcited by 2,855
  7. 2022BLOOM: A 176B-Parameter Open-Access Multilingual Language Modelcited by 1,968
  8. 2021Multitask Prompted Training Enables Zero-Shot Task Generalizationcited by 1,462
  9. 2023mPLUG-Owl: Modularization Empowers Large Language Models with Multimodalitycited by 1,038
  10. 2020The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memescited by 485
  11. 2019Supervised Multimodal Bitransformers for Classifying Images and Textcited by 130
  12. 2020SemEval-2020 Task 8: Memotion Analysis -- The Visuo-Lingual Metaphor!cited by 77
14 more
  1. 2021Detecting Harmful Memes and Their Targetscited by 77
  2. 2023Prompting for Multimodal Hateful Meme Classificationcited by 68
  3. 2022Detecting and Understanding Harmful Memes: A Surveycited by 58
  4. 2021Disentangling Hate in Online Memescited by 46
  5. 2023Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detectioncited by 45
  6. 2021Detecting Propaganda Techniques in Memescited by 43
  7. 2023Decoding the Underlying Meaning of Multimodal Hateful Memescited by 38
  8. 2023Language Models are Few-shot Learners for Prognostic Predictioncited by 37
  9. 2022On Explaining Multimodal Hateful Meme Detection Modelscited by 29
  10. 2021Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Datasetcited by 13
  11. 2018Dank Learning: Generating Memes Using Deep Neural Networkscited by 10
  12. 2020memeBot: Towards Automatic Image Meme Generationcited by 8
  13. 2022Multimodal and Explainable Internet Meme Classificationcited by 5
  14. 2019Memeify: A Large-Scale Meme Generation Systemcited by 4

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 5.

9 papers.

  1. 2025Large Language Models for Subjective Language Understanding: A Surveycited by 9
  2. 2025Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comicscited by 5
  3. 2025Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Modelscited by 2
  4. 2025From Perception to Punchline: Empowering VLM with the Art of In-the-wild Memecited by 1
  5. 2026MER-Bench: A Comprehensive Benchmark for Multimodal Meme Reappraisalcited by 1
  6. 2026Memes-as-Replies: Can Models Select Humorous Manga Panel Responses?cited by 0
  7. 2026Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challengescited by 0
  8. 2026Towards High-Level Semantic Intelligencecited by 0
  9. 2026TransMeme: A Multi-Agent Framework for Cross-Cultural Meme Transcreationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention
  2. 2026MemeBuddy: Dialog-Style Audio Representations for Engaging Non-Visual Meme Experiences ↗
  3. 2025Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes
  4. 2026MemeLens: Multilingual Multitask VLMs for Memes
  5. 2025Detecting Offensive Memes with Social Biases in Singapore Context Using Multimodal Large Language Models
  6. 2025From Recognition to Reasoning: Advancing Multimodal Harmful Meme Detection via Chain-of-Thought Alignment
  7. 2025MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models
  8. 2026PEST: Parameter Efficient Steering of Blackbox VLMs via Agentic Few-shot Alignment for Hateful Meme Moderation