Copertina

Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mei, Jingbiao, Chen, Jinghong, Lin, Weizhe, Byrne, Bill, Tomalin, Marcus
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection
di: Mei, Jingbiao, et al.
Pubblicazione: (2025)

Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches
di: Sterner, Igor, et al.
Pubblicazione: (2024)

ExPO-HM: Learning to Explain-then-Detect for Hateful Meme Detection
di: Mei, Jingbiao, et al.
Pubblicazione: (2025)

PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers
di: Lin, Weizhe, et al.
Pubblicazione: (2024)

According to Me: Long-Term Personalized Referential Memory QA
di: Mei, Jingbiao, et al.
Pubblicazione: (2026)

Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata
di: Chen, Jinghong, et al.
Pubblicazione: (2024)

Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models
di: Yang, Guangyu, et al.
Pubblicazione: (2025)

Modularized Networks for Few-shot Hateful Meme Detection
di: Cao, Rui, et al.
Pubblicazione: (2024)

On Extending Direct Preference Optimization to Accommodate Ties
di: Chen, Jinghong, et al.
Pubblicazione: (2024)

BERAG: Bayesian Ensemble Retrieval-Augmented Generation for Knowledge-based Visual Question Answering
di: Chen, Jinghong, et al.
Pubblicazione: (2026)

Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
di: Huang, Jinfa, et al.
Pubblicazione: (2024)

Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
di: Van, Minh-Hao, et al.
Pubblicazione: (2025)

MemeIntel: Explainable Detection of Propagandistic and Hateful Memes
di: Kmainasi, Mohamed Bayan, et al.
Pubblicazione: (2025)

FBHM: Functional Benchmarking and Steering of VLMs for Hateful Meme Detection
di: Bhaskar, Paramananda, et al.
Pubblicazione: (2026)

See, Explain, and Intervene: A Few-Shot Multimodal Agent Framework for Hateful Meme Moderation
di: Rizwan, Naquee, et al.
Pubblicazione: (2026)

Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations
di: Rizwan, Naquee, et al.
Pubblicazione: (2024)

Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge
di: Tzelepi, Maria, et al.
Pubblicazione: (2025)

Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?
di: Aggarwal, Piush, et al.
Pubblicazione: (2024)

STEMTOX: From Social Tags to Fine-Grained Toxic Meme Detection via Entropy-Guided Multi-Task Learning
di: Swain, Subhankar, et al.
Pubblicazione: (2025)

GatedCLIP: Gated Multimodal Fusion for Hateful Memes Detection
di: Guo, Yingying, et al.
Pubblicazione: (2026)

Beyond Meme Templates: Limitations of Visual Similarity Measures in Meme Matching
di: Hazman, Muzhaffar, et al.
Pubblicazione: (2025)

MemeMind: A Large-Scale Multimodal Dataset with Chain-of-Thought Reasoning for Harmful Meme Detection
di: Gu, Hexiang, et al.
Pubblicazione: (2025)

TRACE: Textual Relevance Augmentation and Contextual Encoding for Multimodal Hate Detection
di: Koushik, Girish A., et al.
Pubblicazione: (2025)

Detecting Offensive Memes with Social Biases in Singapore Context Using Multimodal Large Language Models
di: Yuxuan, Cao, et al.
Pubblicazione: (2025)

MER-Bench: A Comprehensive Benchmark for Multimodal Meme Reappraisal
di: Nie, Yiqi, et al.
Pubblicazione: (2026)

Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding
di: Yang, Guangyu, et al.
Pubblicazione: (2023)

DeHate: A Stable Diffusion-based Multimodal Approach to Mitigate Hate Speech in Images
di: Dalal, Dwip, et al.
Pubblicazione: (2025)

OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst
di: Cao, Jingtao, et al.
Pubblicazione: (2024)

Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion
di: Shi, Yi, et al.
Pubblicazione: (2025)

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering
di: Anaissi, Ali, et al.
Pubblicazione: (2025)

Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities
di: Pandiani, Delfina Sol Martinez, et al.
Pubblicazione: (2024)

FigSIM: A Dataset for Fine-grained Suicide Severity and Figurative Language in Suicide Memes
di: Chen, Liuliu, et al.
Pubblicazione: (2026)

Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering
di: Kim, Jongha, et al.
Pubblicazione: (2026)

Benchmarking Deflection and Hallucination in Large Vision-Language Models
di: Moratelli, Nicholas, et al.
Pubblicazione: (2026)

Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
di: Garg, Rahul, et al.
Pubblicazione: (2024)

Retrieving Counterfactuals Improves Visual In-Context Learning
di: Xiong, Guangzhi, et al.
Pubblicazione: (2026)

VisRAG 2.0: Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation
di: Sun, Yubo, et al.
Pubblicazione: (2025)

VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval
di: Wu, Di, et al.
Pubblicazione: (2025)

Refining Skewed Perceptions in Vision-Language Contrastive Models through Visual Representations
di: Dai, Haocheng, et al.
Pubblicazione: (2024)

Generative Sign-description Prompts with Multi-positive Contrastive Learning for Sign Language Recognition
di: Liang, Siyu, et al.
Pubblicazione: (2025)