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The proliferation of fake news has had far-reaching implications on politics, the economy, and society at large.
DeClarE: Debunking fake news and false claims using evidence-aware deep learning
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, and Gerhard Weikum. 2018 · 2018
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Sentence-level evidence embedding for claim verification with hierarchical attention networks
Jing Ma, Wei Gao, Shafiq R. Joty, and Kam-Fai Wong. 2019 · 2019
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Retrieval augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020b · 2020
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Explainable automated fact-checking: A survey
Neema Kotonya and Francesca Toni. 2020 · 2020
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Misinformation in and about science
Jevin D. West and Carl T. Bergstrom. 2020 · 2020
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Evidence-aware hierarchical interactive attention networks for explainable claim verification
Lianwei Wu, Yuan Rao, Xiong Yang, Wanzhen Wang, and Ambreen Nazir. 2020 · 2020
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An overview of online fake news: Characterization, detection, and discussion
Xichen Zhang and Ali A. Ghorbani. 2020 · 2020
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A survey of fake news: Fundamental theories, detection methods, and opportunities
Xinyi Zhou and Reza Zafarani. 2020 · 2020
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Trends in combating fake news on social media - a survey
Botambu Collins, Dinh Tuyen Hoang, Ngoc Thanh Nguyen, and Dosam Hwang. 2021 · 2021
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Webgpt: Browser-assisted question-answering with human feedback
Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, and John Schulman. 2021 · 2021
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Hierarchical multi-head attentive network for evidence-aware fake news detection
Nguyen Vo and Kyumin Lee. 2021 · 2021
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A survey of fake news: Fundamental theories, detection methods, and opportunities
Xinyi Zhou and Reza Zafarani. 2021 · 2021
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Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, and Laurent Sifre. 2022 · 2022
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Public wisdom matters! discourse-aware hyperbolic fourier co-attention for social text classification
Karish Grover, S. M. Phaneendra Angara, Md. Shad Akhtar, and Tanmoy Chakraborty. 2022 · 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 · 2022
Cited alongside, same era.
Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus. 2022a · 2022
Cited alongside, same era.
Evidence-aware fake news detection with graph neural networks
Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, and Liang Wang. 2022 · 2022
Cited alongside, same era.
The unreliability of explanations in few-shot prompting for textual reasoning
Xi Ye and Greg Durrett. 2022 · 2022
Cited alongside, same era.
Retrieval-based language models and applications
Akari Asai, Sewon Min, Zexuan Zhong, and Danqi Chen. 2023 · 2023
Cited alongside, same era.
MUSER: A multi-step evidence retrieval enhancement framework for fake news detection
Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, and Xing Xie. 2023 · 2023
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Webglm: Towards an efficient web-enhanced question answering system with human preferences
Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, and Jie Tang. 2023 · 2023
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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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Who funds misinformation? A systematic analysis of the ad-related profit routines of fake news sites
Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, and Nicolas Kourtellis. 2023 · 2023
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In-context retrieval-augmented language models
Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, and Yoav Shoham. 2023 · 2023
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Content-based fake news detection with machine and deep learning: a systematic review
Nicola Capuano, Giuseppe Fenza, Vincenzo Loia, and Francesco David Nota. 2023 · 2023
Cited alongside, same era.
Combating misinformation in the age of llms: Opportunities and challenges
Canyu Chen and Kai Shu. 2023 · 2023
Cited alongside, same era.
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 · 2023
Cited alongside, same era.
LLM self defense: By self examination, llms know they are being tricked
Alec Helbling, Mansi Phute, Matthew Hull, and Duen Horng Chau. 2023 · 2023
Cited alongside, same era.
Read it twice: Towards faithfully interpretable fact verification by revisiting evidence
Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, and Philip S. Yu. 2023 · 2023
Cited alongside, same era.
Few-shot learning with retrieval augmented language models
Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, and Edouard Grave. 2023 · 2023
Cited alongside, same era.
Active retrieval augmented generation
Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig. 2023 · 2023
Cited alongside, same era.
REPLUG: retrieval-augmented black-box language models
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, and Wen-tau Yih. 2023 · 2023
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Explainable claim verification via knowledge-grounded reasoning with large language models
Haoran Wang and Kai Shu. 2023 · 2023
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2023a · 2023
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Self-knowledge guided retrieval augmentation for large language models
Yile Wang, Peng Li, Maosong Sun, and Yang Liu. 2023b · 2023
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Prompt-and-align: Prompt-based social alignment for few-shot fake news detection
Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, and Bryan Hooi. 2023 · 2023
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Can llms express their uncertainty? an empirical evaluation of confidence elicitation in llms
Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, and Bryan Hooi. 2023 · 2023
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R. Narasimhan, and Yuan Cao. 2023b · 2023
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Generate rather than retrieve: Large language models are strong context generators
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, and Meng Jiang. 2023 · 2023
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