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Artificial Intelligence Generated Content (AIGC) technology development has facilitated the creation of rumors with misinformation, impacting societal, economic, and political ecosystems, challenging democracy.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Albert: A lite bert for self-supervised learning of language representations
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Xlnet: Generalized autoregressive pretraining for language understanding
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Attributed multi-relational attention network for fact-checking url recommendation. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management . 1471–1480
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Deterrent: Knowledge guided graph attention network for detecting healthcare misinformation. In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining . 492–502
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Retrieval-augmented generation for knowledge-intensive nlp tasks
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Fang: Leveraging social context for fake news detection using graph representation. In Proceedings of the 29th ACM international conference on information & knowledge management . 1165–1174
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Fake News Detection in Aging During the Era of Infodemic
Pehlivanoglu Didem, Lin Tian, Chi Kevin, Perez Eliany, Polk Rebecca, Cahill Barian, Lighthall Nichole, and Ebner Natalie. 2021 · 2021
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Finetuned language models are zero-shot learners
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A unified perspective for disinformation detection and truth discovery in social sensing: A survey
Fan Xu, Victor S Sheng, and Mingwen Wang. 2021 · 2021
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Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention network
Bei Bi, Yaojun Wang, Haicang Zhang, and Yang Gao. 2022 · 2022
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CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , Marine Carpuat, Marie-Catherine de Marneffe, and Ivan Vladimir Meza Ruiz (Eds.). Association for Computational Linguistics, Seattle, United States, 3362–3376
Xuming Hu, Zhijiang Guo, GuanYu Wu, Aiwei Liu, Lijie Wen, and Philip Yu. 2022 · 2022
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Bot2Vec: A general approach of intra-community oriented representation learning for bot detection in different types of social networks
Phu Pham, Loan TT Nguyen, Bay Vo, and Unil Yun. 2022 · 2022
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023 · 2023
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Structgpt: A general framework for large language model to reason over structured data
Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Wayne Xin Zhao, and Ji-Rong Wen. 2023 · 2023
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Zero-shot rumor detection with propagation structure via prompt learning. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 37. 5213–5221
Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, and Ruifang Liu. 2023 · 2023
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Analysis of disinformation and fake news detection using fine-tuned large language model
Bohdan M Pavlyshenko. 2023 · 2023
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Large language models encode clinical knowledge
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Generalizing to the future: Mitigating entity bias in fake news detection. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval . 2120–2125
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, and Fuzhen Zhuang. 2022 · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Combating Misinformation in the Age of LLMs: Opportunities and Challenges
Canyu Chen and Kai Shu. 2023 · 2023
Cited alongside, same era.
Mengyang Chen, Lingwei Wei, Han Cao, Wei Zhou, and Songlin Hu. 2023 · 2023
Cited alongside, same era.
Intra-graph and Inter-graph joint information propagation network with third-order text graph tensor for fake news detection
Benkuan Cui, Kun Ma, Leping Li, Weijuan Zhang, Ke Ji, Zhenxiang Chen, and Ajith Abraham. 2023a · 2023
Cited alongside, same era.
Efficient and effective text encoding for chinese llama and alpaca
Yiming Cui, Ziqing Yang, and Xin Yao. 2023b · 2023
Cited alongside, same era.
An Efficient and Robust Semantic Hashing Framework for Similar Text Search
Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, and Shijin Wang. 2023 · 2023
Cited alongside, same era.
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al · 2023
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Inconsistent matters: A knowledge-guided dual-consistency network for multi-modal rumor detection
Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, and S Yu Philip. 2023 · 2023
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Graph neural prompting with large language models
Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V Chawla, and Panpan Xu. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Rumor detection driven by graph attention capsule network on dynamic propagation structures
Peng Yang, Juncheng Leng, Guangzhen Zhao, Wenjun Li, and Haisheng Fang. 2023 · 2023
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Rumor detection on social media through mining the social circles with high homogeneity
Peng Zheng, Zhen Huang, Yong Dou, and Yeqing Yan. 2023 · 2023
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Can LLM-Generated Misinformation Be Detected?. In The Twelfth International Conference on Learning Representations
Canyu Chen and Kai Shu. 2024 · 2024
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User preference-aware fake news detection. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval . 2051–2055
Yingtong Dou, Kai Shu, Congying Xia, Philip S Yu, and Lichao Sun. 2021 · 2055
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