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There is a rapid increase in the use of multimedia content in current social media platforms.
A framework for interactive and automatic refinement of transfer-based machine translation
Font Llitjós, A.; Carbonell, J. G.; and Lavie, A. 2005 · 2005
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Error Analysis of Statistical Machine Translation Output
Vilar, D.; Xu, J.; D’Haro, L. F.; and Ney, H. 2006 · 2006
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SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
Süsstrunk, S.; Fua, P.; Shaji, A.; Lucchi, A.; Smith, K.; and Achanta, R. 2012 · 2012
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”Why Should I Trust You?”: Explaining the Predictions of Any Classifier
Ribeiro, M. T.; Singh, S.; and Guestrin, C. 2016 · 2016
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Fast Krippendorff: Fast computation of Krippendorff’s alpha agreement measure
Castro, S. 2017 · 2017
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A Unified Approach to Interpreting Model Predictions
Lundberg, S.; and Lee, S.-I. 2017 · 2017
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
Selvaraju, R. R.; Cogswell, M.; Das, A.; Vedantam, R.; Parikh, D.; and Batra, D. 2017 · 2017
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Exploring hate speech detection in multimodal publications
Gomez, R.; Gibert, J.; Gomez, L.; and Karatzas, D. 2020 · 2020
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The hateful memes challenge: Detecting hate speech in multimodal memes
Kiela, D.; Firooz, H.; Mohan, A.; Goswami, V.; Singh, A.; Ringshia, P.; and Testuggine, D. 2020 · 2020
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“Subverting the Jewtocracy”: Online antisemitism detection using multimodal deep learning
Chandra, M.; Pailla, D.; Bhatia, H.; Sanchawala, A.; Gupta, M.; Shrivastava, M.; and Kumaraguru, P. 2021 · 2021
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An Interpretable Approach to Hateful Meme Detection
Deshpande, T.; and Mani, N. 2021 · 2021
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Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
Kirk, H.; Jun, Y.; Rauba, P.; Wachtel, G.; Li, R.; Bai, X.; Broestl, N.; Doff-Sotta, M.; Shtedritski, A.; and Asano, Y. M. 2021 · 2021
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HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Mathew, B.; Saha, P.; Yimam, S. M.; Biemann, C.; Goyal, P.; and Mukherjee, A. 2021 · 2021
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Detecting Harmful Memes and Their Targets
Pramanick, S.; Dimitrov, D.; Mukherjee, R.; Sharma, S.; Akhtar, M. S.; Nakov, P.; and Chakraborty, T. 2021a · 2021
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MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
Pramanick, S.; Sharma, S.; Dimitrov, D.; Akhtar, M. S.; Nakov, P.; and Chakraborty, T. 2021b · 2021
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Aomd: An analogy-aware approach to offensive meme detection on social media
Shang, L.; Zhang, Y.; Zha, Y.; Chen, Y.; Youn, C.; and Wang, D. 2021 · 2021
Cited alongside, same era.
Flamingo: a visual language model for few-shot learning
Alayrac, J.-B.; Donahue, J.; Luc, P.; Miech, A.; Barr, I.; Hasson, Y.; Lenc, K.; Mensch, A.; Millican, K.; Reynolds, M.; et al. 2022 · 2022
Cited alongside, same era.
SemEval-2022 Task 5: Multimedia automatic misogyny identification
Fersini, E.; Gasparini, F.; Rizzi, G.; Saibene, A.; Chulvi, B.; Rosso, P.; Lees, A.; and Sorensen, J. 2022 · 2022
Cited alongside, same era.
On Explaining Multimodal Hateful Meme Detection Models
Hee, M. S.; Lee, R. K.-W.; and Chong, W.-H. 2022 · 2022
Cited alongside, same era.
Kheiri, K.; and Karimi, H. 2023 · 2023
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Improving zero-shot visual question answering via large language models with reasoning question prompts
Lan, Y.; Li, X.; Liu, X.; Li, Y.; Qin, W.; and Qian, W. 2023 · 2023
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Obelisc: An open web-scale filtered dataset of interleaved image-text documents
Laurençon, H.; Saulnier, L.; Tronchon, L.; Bekman, S.; Singh, A.; Lozhkov, A.; Wang, T.; Karamcheti, S.; Rush, A. M.; Kiela, D.; et al. 2023 · 2023
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LICO: Explainable Models with Language-Image COnsistency
Lei, Y.; Li, Z.; Li, Y.; Zhang, J.; and Shan, H. 2023 · 2023
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A multitask framework for sentiment, emotion and sarcasm aware cyberbullying detection from multi-modal code-mixed memes
Maity, K.; Jha, P.; Saha, S.; and Bhattacharyya, P. 2022 · 2022
Cited alongside, same era.
An Explainable Toolbox for Evaluating Pre-trained Vision-Language Models
Zhao, T.; Zhang, T.; Zhu, M.; Shen, H.; Lee, K.; Lu, X.; and Yin, J. 2022 · 2022
Cited alongside, same era.
Prompting for Multimodal Hateful Meme Classification
Cao, R.; Lee, R. K.-W.; Chong, W.-H.; and Jiang, J. 2023 · 2023
Cited alongside, same era.
Evaluating Explanation Methods for Vision-and-Language Navigation
Chen, G.; Yang, L.; Chen, G.; and Pan, J. 2023 · 2023
Cited alongside, same era.
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
Dai, W.; Li, J.; Li, D.; Tiong, A.; Zhao, J.; Wang, W.; Li, B.; Fung, P.; and Hoi, S. 2023 · 2023
Cited alongside, same era.
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification
Das, M.; and Mukherjee, A. 2023 · 2023
Cited alongside, same era.
Bridging the Transparency Gap: What Can Explainable AI Learn from the AI Act?
Gyevnar, B.; Ferguson, N.; and Schafer, B. 2023 · 2023
Cited alongside, same era.
Liu, H.; Li, C.; Wu, Q.; and Lee, Y. J. 2023 · 2023
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Respectful or Toxic? Using Zero-Shot Learning with Language Models to Detect Hate Speech
Plaza-del arco, F. M.; Nozza, D.; and Hovy, D. 2023 · 2023
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Probing LLMs for hate speech detection: strengths and vulnerabilities
Roy, S.; Harshvardhan, A.; Mukherjee, A.; and Saha, P. 2023 · 2023
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Detecting and correcting hate speech in multimodal memes with large visual language model
Van, M.-H.; and Wu, X. 2023 · 2023
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Deciphering Hate: Identifying Hateful Memes and Their Targets
Hossain, E.; Sharif, O.; Hoque, M. M.; and Preum, S. M. 2024 · 2024
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CM-Off-Meme: Code-Mixed Hindi-English Offensive Meme Detection with Multi-Task Learning by Leveraging Contextual Knowledge
Kumari, G.; Bandyopadhyay, D.; Ekbal, A.; and NarayanaMurthy, V. B. 2024 · 2024
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GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
Lin, H.; Luo, Z.; Wang, B.; Yang, R.; and Ma, J. 2024 · 2024
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GPT-4o — openai.com
OpenAI. 2024 · 2024
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On Zero-Shot Counterspeech Generation by LLMs
Saha, P.; Agrawal, A.; Jana, A.; Biemann, C.; and Mukherjee, A. 2024 · 2024
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