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The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

10 May 2020
Douwe Kiela
Hamed Firooz
Aravind Mohan
Vedanuj Goswami
Amanpreet Singh
Pratik Ringshia
Davide Testuggine
ArXivPDFHTML

Papers citing "The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes"

50 / 111 papers shown
Title
Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
Minh-Hao Van
Xintao Wu
VLM
88
0
0
30 Apr 2025
MemeBLIP2: A novel lightweight multimodal system to detect harmful memes
MemeBLIP2: A novel lightweight multimodal system to detect harmful memes
Jiaqi Liu
Ran Tong
Aowei Shen
Shuzheng Li
Changlin Yang
Lisha Xu
VLM
77
0
0
29 Apr 2025
CAMU: Context Augmentation for Meme Understanding
CAMU: Context Augmentation for Meme Understanding
Girish A. Koushik
Diptesh Kanojia
Helen Treharne
Aditya Joshi
VLM
98
0
0
24 Apr 2025
Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering
Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering
Ali Anaissi
Junaid Akram
Kunal Chaturvedi
Ali Braytee
28
0
0
23 Apr 2025
LLM-based Semantic Augmentation for Harmful Content Detection
LLM-based Semantic Augmentation for Harmful Content Detection
Elyas Meguellati
Assaad Zeghina
S. Sadiq
Gianluca Demartini
36
0
0
22 Apr 2025
Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge
Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge
Maria Tzelepi
Vasileios Mezaris
34
0
0
14 Apr 2025
M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models
M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models
Yanshu Li
Hongyang He
Yi Cao
Qisen Cheng
Xiang Fu
Ruixiang Tang
VLM
40
0
0
06 Apr 2025
Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks
Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks
Jiawei Wang
Yushen Zuo
Yuanjun Chai
Ziqiang Liu
Yichen Fu
Yichun Feng
Kin-Man Lam
AAML
VLM
42
0
0
02 Apr 2025
MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning
MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning
Yiwei Ma
Guohai Xu
Xiaoshuai Sun
Jiayi Ji
Jie Lou
Debing Zhang
Rongrong Ji
95
0
0
26 Mar 2025
See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias
See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias
Junehyoung Kwon
Mihyeon Kim
Eunju Lee
Juhwan Choi
Youngbin Kim
60
0
0
18 Mar 2025
Multi-Granular Multimodal Clue Fusion for Meme Understanding
Multi-Granular Multimodal Clue Fusion for Meme Understanding
Li Zheng
Hao Fei
Ting Dai
Zuquan Peng
Fei Li
Huisheng Ma
Chong Teng
Donghong Ji
60
0
0
16 Mar 2025
cantnlp@DravidianLangTech2025: A Bag-of-Sounds Approach to Multimodal Hate Speech Detection
cantnlp@DravidianLangTech2025: A Bag-of-Sounds Approach to Multimodal Hate Speech Detection
Sidney Wong
Andrew Li
42
0
0
10 Mar 2025
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Yanshu Li
44
0
0
05 Mar 2025
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
Yubo Wang
Jianting Tang
Chaohu Liu
Linli Xu
AAML
61
1
0
23 Feb 2025
Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models
Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models
Abdulkadir Erol
Trilok Padhi
Agnik Saha
Ugur Kursuncu
Mehmet Emin Aktas
47
1
0
17 Jan 2025
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
Ziyan Jiang
Rui Meng
Xinyi Yang
Semih Yavuz
Yingbo Zhou
Wenhu Chen
MLLM
VLM
51
19
0
03 Jan 2025
Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
Rahul Garg
Trilok Padhi
Hemang Jain
Ugur Kursuncu
Ponnurangam Kumaraguru
75
3
0
19 Nov 2024
Prompt-enhanced Network for Hateful Meme Classification
Prompt-enhanced Network for Hateful Meme Classification
Junxi Liu
Yanyan Feng
Jiehai Chen
Yun Xue
Fenghuan Li
VLM
55
0
0
12 Nov 2024
Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language Models
Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language Models
Minh Duc Bui
K. Wense
Anne Lauscher
VLM
31
1
0
06 Nov 2024
RoMemes: A multimodal meme corpus for the Romanian language
RoMemes: A multimodal meme corpus for the Romanian language
Vasile Păiş
Sara Niţă
Alexandru-Iulius Jerpelea
Luca Pană
Eric Curea
GNN
32
1
0
20 Oct 2024
Q-VLM: Post-training Quantization for Large Vision-Language Models
Q-VLM: Post-training Quantization for Large Vision-Language Models
Changyuan Wang
Ziwei Wang
Xiuwei Xu
Yansong Tang
Jie Zhou
Jiwen Lu
MQ
32
1
0
10 Oct 2024
Deep Correlated Prompting for Visual Recognition with Missing Modalities
Deep Correlated Prompting for Visual Recognition with Missing Modalities
Lianyu Hu
Tongkai Shi
Wei Feng
Fanhua Shang
Liang Wan
VLM
31
1
0
09 Oct 2024
HateSieve: A Contrastive Learning Framework for Detecting and Segmenting Hateful Content in Multimodal Memes
HateSieve: A Contrastive Learning Framework for Detecting and Segmenting Hateful Content in Multimodal Memes
Xuanyu Su
Yansong Li
Diana Inkpen
Nathalie Japkowicz
VLM
81
2
0
11 Aug 2024
Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
Jinfa Huang
Jinsheng Pan
Zhongwei Wan
Hanjia Lyu
Jiebo Luo
58
4
0
30 Jul 2024
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open
  Models
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models
Jaeyoung Lee
Ximing Lu
Jack Hessel
Faeze Brahman
Youngjae Yu
Yonatan Bisk
Yejin Choi
Saadia Gabriel
36
3
0
29 Jun 2024
CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation
CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation
Wei Chen
Lin Li
Yongqi Yang
Bin Wen
Fan Yang
Tingting Gao
Yu Wu
Long Chen
VLM
VGen
47
6
0
15 Jun 2024
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal
  Large Language Models
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
Tianle Gu
Zeyang Zhou
Kexin Huang
Dandan Liang
Yixu Wang
...
Keqing Wang
Yujiu Yang
Yan Teng
Yu Qiao
Yingchun Wang
ELM
47
13
0
11 Jun 2024
Multi-Modal Generative Embedding Model
Multi-Modal Generative Embedding Model
Feipeng Ma
Hongwei Xue
Guangting Wang
Yizhou Zhou
Fengyun Rao
Shilin Yan
Yueyi Zhang
Siying Wu
Mike Zheng Shou
Xiaoyan Sun
VLM
39
3
0
29 May 2024
Chinese Offensive Language Detection:Current Status and Future
  Directions
Chinese Offensive Language Detection:Current Status and Future Directions
Yunze Xiao
Houda Bouamor
Wajdi Zaghouani
35
2
0
27 Mar 2024
Deciphering Hate: Identifying Hateful Memes and Their Targets
Deciphering Hate: Identifying Hateful Memes and Their Targets
E. Hossain
Omar Sharif
M. M. Hoque
S. Preum
44
4
0
16 Mar 2024
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal
  Learning with Missing Modalities and Data Scarcity
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity
Zhuo Zhi
Ziquan Liu
M. Elbadawi
Adam Daneshmend
Mine Orlu
Abdul Basit
Andreas Demosthenous
Miguel R. D. Rodrigues
34
2
0
14 Mar 2024
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality
Huy Q. Le
Chu Myaet Thwal
Yu Qiao
Ye Lin Tun
Minh N. H. Nguyen
Choong Seon Hong
Choong Seon Hong
65
4
0
25 Jan 2024
An Investigation of Large Language Models for Real-World Hate Speech
  Detection
An Investigation of Large Language Models for Real-World Hate Speech Detection
Keyan Guo
Alexander Hu
Jaden Mu
Ziheng Shi
Ziming Zhao
Nishant Vishwamitra
Hongxin Hu
25
12
0
07 Jan 2024
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
Hongzhan Lin
Ziyang Luo
Bo Wang
Ruichao Yang
Jing Ma
42
24
0
03 Jan 2024
Jack of All Tasks, Master of Many: Designing General-purpose
  Coarse-to-Fine Vision-Language Model
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model
Shraman Pramanick
Guangxing Han
Rui Hou
Sayan Nag
Ser-Nam Lim
Nicolas Ballas
Qifan Wang
Rama Chellappa
Amjad Almahairi
VLM
MLLM
45
29
0
19 Dec 2023
MATK: The Meme Analytical Tool Kit
MATK: The Meme Analytical Tool Kit
Ming Shan Hee
Aditi Kumaresan
N. Hoang
Nirmalendu Prakash
Rui Cao
Roy Ka-Wei Lee
VLM
17
2
0
11 Dec 2023
PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using
  Large Language Models
PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models
Nirmalendu Prakash
Han Wang
N. Hoang
Ming Shan Hee
Roy Ka-Wei Lee
21
11
0
11 Dec 2023
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning
  Distilled from Large Language Models
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models
Hongzhan Lin
Ziyang Luo
Jing Ma
Long Chen
27
9
0
09 Dec 2023
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
Hakan Inan
Kartikeya Upasani
Jianfeng Chi
Rashi Rungta
Krithika Iyer
...
Michael Tontchev
Qing Hu
Brian Fuller
Davide Testuggine
Madian Khabsa
AI4MH
16
372
0
07 Dec 2023
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using
  LLMs
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs
Chenyang Yang
Rishabh Rustogi
Rachel A. Brower-Sinning
Grace A. Lewis
Christian Kastner
Tongshuang Wu
KELM
32
11
0
14 Oct 2023
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
Avamarie Brueggeman
Andrea Madotto
Zhaojiang Lin
Tushar Nagarajan
Matt Smith
...
Peyman Heidari
Yue Liu
Kavya Srinet
Babak Damavandi
Anuj Kumar
MLLM
34
93
0
27 Sep 2023
Causal Intersectionality and Dual Form of Gradient Descent for
  Multimodal Analysis: a Case Study on Hateful Memes
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
Yosuke Miyanishi
M. Nguyen
31
2
0
19 Aug 2023
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme
  Detection
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection
Rui Cao
Ming Shan Hee
Adriel Kuek
Wen-Haw Chong
Roy Ka-Wei Lee
Jing Jiang
VLM
MLLM
27
36
0
16 Aug 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming Yang
F. Khan
VLM
38
118
0
25 Jul 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning
FedMultimodal: A Benchmark For Multimodal Federated Learning
Tiantian Feng
Digbalay Bose
Tuo Zhang
Rajat Hebbar
Anil Ramakrishna
Rahul Gupta
Mi Zhang
Salman Avestimehr
Shrikanth Narayanan
32
48
0
15 Jun 2023
TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in
  Singapore
TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore
Nirmalendu Prakash
Ming Shan Hee
Roy Ka-Wei Lee
16
13
0
29 May 2023
Images in Language Space: Exploring the Suitability of Large Language
  Models for Vision & Language Tasks
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks
Sherzod Hakimov
David Schlangen
VLM
36
5
0
23 May 2023
Unstructured and structured data: Can we have the best of both worlds
  with large language models?
Unstructured and structured data: Can we have the best of both worlds with large language models?
W. Tan
18
1
0
25 Apr 2023
MemeFier: Dual-stage Modality Fusion for Image Meme Classification
MemeFier: Dual-stage Modality Fusion for Image Meme Classification
C. Koutlis
Manos Schinas
Symeon Papadopoulos
13
12
0
06 Apr 2023
DIME-FM: DIstilling Multimodal and Efficient Foundation Models
DIME-FM: DIstilling Multimodal and Efficient Foundation Models
Ximeng Sun
Pengchuan Zhang
Peizhao Zhang
Hardik Shah
Kate Saenko
Xide Xia
VLM
25
20
0
31 Mar 2023
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