Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
Fuente:
arXiv
Saved in:
| Main Authors: | Garg, Rahul, Padhi, Trilok, Jain, Hemang, Kursuncu, Ugur, Kumaraguru, Ponnurangam |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning
by: Padhi, Trilok, et al.
Published: (2024)
by: Padhi, Trilok, et al.
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)
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
by: Padhi, Trilok, et al.
Published: (2025)
by: Padhi, Trilok, et al.
Published: (2025)
OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst
by: Cao, Jingtao, et al.
Published: (2024)
by: Cao, Jingtao, et al.
Published: (2024)
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)
From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data
by: Kursuncu, Ugur, et al.
Published: (2025)
by: Kursuncu, Ugur, et al.
Published: (2025)
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)
Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?
by: Aggarwal, Piush, et al.
Published: (2024)
by: Aggarwal, Piush, 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)
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)
CAPEEN: Image Captioning with Early Exits and Knowledge Distillation
by: Bajpai, Divya Jyoti, et al.
Published: (2024)
by: Bajpai, Divya Jyoti, et al.
Published: (2024)
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)
COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models
by: Govil, Priyanshul, et al.
Published: (2024)
by: Govil, Priyanshul, et al.
Published: (2024)
Towards Infusing Auxiliary Knowledge for Distracted Driver Detection
by: Balappanawar, Ishwar B, et al.
Published: (2024)
by: Balappanawar, Ishwar B, et al.
Published: (2024)
Explainable Multimodal Sentiment Analysis on Bengali Memes
by: Elahi, Kazi Toufique, et al.
Published: (2023)
by: Elahi, Kazi Toufique, et al.
Published: (2023)
Beyond Translation: Cross-Cultural Meme Transcreation with Vision-Language Models
by: Zhao, Yuming, et al.
Published: (2026)
by: Zhao, Yuming, et al.
Published: (2026)
Outside Knowledge Conversational Video (OKCV) Dataset -- Dialoguing over Videos
by: Reichman, Benjamin, et al.
Published: (2025)
by: Reichman, Benjamin, et al.
Published: (2025)
Freeze and Reveal: Exposing Modality Bias in Vision-Language Models
by: Kavuri, Vivek Hruday, et al.
Published: (2025)
by: Kavuri, Vivek Hruday, et al.
Published: (2025)
Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models
by: Erol, Abdulkadir, et al.
Published: (2025)
by: Erol, Abdulkadir, et al.
Published: (2025)
ArMeme: Propagandistic Content in Arabic Memes
by: Alam, Firoj, et al.
Published: (2024)
by: Alam, Firoj, et al.
Published: (2024)
FocusDD: Real-World Scene Infusion for Robust Dataset Distillation
by: Hu, Youbing, et al.
Published: (2025)
by: Hu, Youbing, et al.
Published: (2025)
Enhancing CLIP Conceptual Embedding through Knowledge Distillation
by: Kao, Kuei-Chun
Published: (2024)
by: Kao, Kuei-Chun
Published: (2024)
KGAlign: Joint Semantic-Structural Knowledge Encoding for Multimodal Fake News Detection
by: La, Tuan-Vinh, et al.
Published: (2025)
by: La, Tuan-Vinh, et al.
Published: (2025)
VITED: Video Temporal Evidence Distillation
by: Lu, Yujie, et al.
Published: (2025)
by: Lu, Yujie, et al.
Published: (2025)
Corrective Machine Unlearning
by: Goel, Shashwat, et al.
Published: (2024)
by: Goel, Shashwat, et al.
Published: (2024)
MEMEWEAVER: Inter-Meme Graph Reasoning for Sexism and Misogyny Detection
by: Italiani, Paolo, et al.
Published: (2026)
by: Italiani, Paolo, et al.
Published: (2026)
A Multimodal Memes Classification: A Survey and Open Research Issues
by: Afridi, Tariq Habib, et al.
Published: (2020)
by: Afridi, Tariq Habib, et al.
Published: (2020)
SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
by: Kim, Wonjoong, et al.
Published: (2024)
by: Kim, Wonjoong, et al.
Published: (2024)
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types
by: Sinha, Neelabh, et al.
Published: (2024)
by: Sinha, Neelabh, et al.
Published: (2024)
Knowledge Generation for Zero-shot Knowledge-based VQA
by: Cao, Rui, et al.
Published: (2024)
by: Cao, Rui, et al.
Published: (2024)
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning
by: Singh, Ayush, et al.
Published: (2024)
by: Singh, Ayush, et al.
Published: (2024)
Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation
by: Maracani, Andrea, et al.
Published: (2025)
by: Maracani, Andrea, et al.
Published: (2025)
Hide to See: Reasoning-prefix Masking for Visual-anchored Thinking in VLM Distillation
by: Yu, Seonghoon, et al.
Published: (2026)
by: Yu, Seonghoon, et al.
Published: (2026)
Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
by: Zhang, Xiaoman, et al.
Published: (2024)
by: Zhang, Xiaoman, et al.
Published: (2024)
KARL: Knowledge-Aware Reasoning and Reinforcement Learning for Knowledge-Intensive Visual Grounding
by: Ma, Xinyu, et al.
Published: (2025)
by: Ma, Xinyu, et al.
Published: (2025)
De-Fake: Style based Anomaly Deepfake Detection
by: Padhi, Sudev Kumar, et al.
Published: (2025)
by: Padhi, Sudev Kumar, et al.
Published: (2025)
MoKus: Leveraging Cross-Modal Knowledge Transfer for Knowledge-Aware Concept Customization
by: Zhu, Chenyang, et al.
Published: (2026)
by: Zhu, Chenyang, et al.
Published: (2026)
Give me a hint: Can LLMs take a hint to solve math problems?
by: Agrawal, Vansh, et al.
Published: (2024)
by: Agrawal, Vansh, et al.
Published: (2024)
Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL
by: Wang, Sudong, et al.
Published: (2026)
by: Wang, Sudong, et al.
Published: (2026)
Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering
by: Anaissi, Ali, et al.
Published: (2025)
by: Anaissi, Ali, et al.
Published: (2025)
Similar Items
-
Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning
by: Padhi, Trilok, et al.
Published: (2024) -
MemeMind: A Large-Scale Multimodal Dataset with Chain-of-Thought Reasoning for Harmful Meme Detection
by: Gu, Hexiang, et al.
Published: (2025) -
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding
by: Padhi, Trilok, et al.
Published: (2025) -
OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst
by: Cao, Jingtao, et al.
Published: (2024) -
Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
by: Van, Minh-Hao, et al.
Published: (2025)