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Current multimodal misinformation detection (MMD) methods often assume a single source and type of forgery for each sample, which is insufficient for real-world scenarios where multiple forgery sources coexist.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Multimedia semantic integrity assessment using joint embedding of images and text
Ayush Jaiswal, Ekraam Sabir, Wael AbdAlmageed, and Premkumar Natarajan · 2017
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Deep multimodal image-repurposing detection
Ekraam Sabir, Wael AbdAlmageed, Yue Wu, and Prem Natarajan · 2018
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Fever: a large-scale dataset for fact extraction and verification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal · 2018
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A richly annotated corpus for different tasks in automated fact-checking
Andreas Hanselowski, Christian Stab, Claudia Schulz, Zile Li, and Iryna Gurevych · 2019
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Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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r/fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection
Kai Nakamura, Sharon Levy, and William Yang Wang · 2020
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Capturing the style of fake news
Piotr Przybyla · 2020
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Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu · 2020
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Cnn-generated images are surprisingly easy to spot… for now
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A Efros · 2020
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Edited media understanding frames: Reasoning about the intent and implications of visual misinformation
Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D Hwang, Antoine Bosselut, and Yejin Choi · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Fakeflow: Fake news detection by modeling the flow of affective information
Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso, and Francisco Rangel · 2021
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Towards few-shot fact-checking via perplexity
Nayeon Lee, Yejin Bang, Andrea Madotto, Madian Khabsa, and Pascale Fung · 2021
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Align before fuse: Vision and language representation learning with momentum distillation
Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, and Steven Chu Hong Hoi · 2021
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Visual news: Benchmark and challenges in news image captioning
Fuxiao Liu, Yinghan Wang, Tianlu Wang, and Vicente Ordonez · 2021
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Newsclippings: Automatic generation of out-of-context multimodal media
Grace Luo, Trevor Darrell, and Anna Rohrbach · 2021
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Multimodal fusion with co-attention networks for fake news detection
Yang Wu, Pengwei Zhan, Yunjian Zhang, Liming Wang, and Zhen Xu · 2021
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Open-domain, content-based, multi-modal fact-checking of out-of-context images via online resources
Sahar Abdelnabi, Rakibul Hasan, and Mario Fritz · 2022
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Detecting generated images by real images
Bo Liu, Fan Yang, Xiuli Bi, Bin Xiao, Weisheng Li, and Xinbo Gao · 2022
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https://www.midjourney.com/home/ , 2022
Midjourney · 2022
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Divide-and-conquer: Post-user interaction network for fake news detection on social media
Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, and Sophia Ananiadou · 2022
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Hierarchical text-conditional image generation with clip latents
Pandagpt: One model to instruction-follow them all
Yixuan Su, Tian Lan, Huayang Li, Jialu Xu, Yan Wang, and Deng Cai · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models
Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, and Lifu Huang · 2023
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mplug-owl: Modularization empowers large language models with multimodality
Qinghao Ye, Haiyang Xu, Guohai Xu, Jiabo Ye, Ming Yan, Yiyang Zhou, Junyang Wang, Anwen Hu, Pengcheng Shi, Yaya Shi, et al · 2023
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Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Cosmos: Catching out-of-context misinformation with self-supervised learning
Shivangi Aneja, Chris Bregler, and Matthias Nießner · 2023
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Qwen-vl: A frontier large vision-language model with versatile abilities
Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, and Jingren Zhou · 2023
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Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros · 2023
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Causal intervention and counterfactual reasoning for multi-modal fake news detection
Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, and Liqiang Nie · 2023
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E Gonzalez, et al · 2023
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Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, and Shiming Ge · 2023
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Towards llm-based fact verification on news claims with a hierarchical step-by-step prompting method
Xuan Zhang and Wei Gao · 2023
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Ddcot: Duty-distinct chain-of-thought prompting for multimodal reasoning in language models
Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, and Sibei Yang · 2023
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Can llm-generated misinformation be detected?
Canyu Chen and Kai Shu · 2024
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Vila: On pre-training for visual language models
Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, and Song Han · 2024
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Llava-next: Improved reasoning, ocr, and world knowledge
Haotian Liu, Chunyuan Li, Yuheng Li, Bo Li, Yuanhan Zhang, Sheng Shen, and Yong Jae Lee · 2024
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Sniffer: Multimodal large language model for explainable out-of-context misinformation detection
Peng Qi, Zehong Yan, Wynne Hsu, and Mong Li Lee · 2024
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Detecting and grounding multi-modal media manipulation and beyond
Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, and Ziwei Liu · 2024
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Lvlm-intrepret: An interpretability tool for large vision-language models
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mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration
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Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi
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Cocot: Contrastive chain-of-thought prompting for large multimodal models with multiple image inputs
Daoan Zhang, Junming Yang, Hanjia Lyu, Zijian Jin, Yuan Yao, Mingkai Chen, and Jiebo Luo · 2024
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2025
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