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The escalating challenge of misinformation, particularly in political discourse, requires advanced fact-checking solutions; this is even clearer in the more complex scenario of multimodal claims.
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The spread of true and false news online
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On the origins of memes by means of fringe web communities
Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, and Guillermo Suarez-Tangil. 2018 · 2018
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Learning from fact-checkers: Analysis and generation of fact-checking language
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
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Learning transferable visual models from natural language supervision
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A survey on multimodal disinformation detection
Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, and Preslav Nakov. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc V Le, and Denny Zhou. 2022 · 2022
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Fake news, disinformation and misinformation in social media: a review
Esma Aïmeur, Sabrine Amri, and Gilles Brassard. 2023 · 2023
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Chain-of-verification reduces hallucination in large language models
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Fact-checking complex claims with program-guided reasoning
Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, and Preslav Nakov. 2023 · 2023
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Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, and Jianfeng Gao. 2023 · 2023
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, and Tat-seng Chua. 2023 · 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 · 2023
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Texts as images in prompt tuning for multi-label image recognition
Zixian Guo, Bowen Dong, Zhilong Ji, Jinfeng Bai, Yiwen Guo, and Wangmeng Zuo. 2023 · 2023
Cited alongside, same era.
Gpt-4v: A multimodal transformer for vision and language
OpenAI. 2023 · 2023
Cited alongside, same era.
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. 2023a
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, and Karthik Narasimhan. 2023b
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Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. 2024 · 2024
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Chain-of-action: Faithful and multimodal question answering through large language models
Zhenyu Pan, Haozheng Luo, Manling Li, and Han Liu. 2024 · 2024
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Justilm: Few-shot justification generation for explainable fact-checking of real-world claims
Fengzhu Zeng and Wei Gao. 2024 · 2024
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